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mohanty

Name

Sharada Mohanty

Organization

AIcrowd

Location

Geneva, CH

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Challenges Entered

3D seismic image Interpretation by Machine Learning

Latest submissions

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graded 82855
graded 82679
graded 82664

Predicting smell of molecular compounds

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graded 81550

A benchmark for image-based food recognition

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graded 58585

Classify images of snake species from around the world

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failed 5795
graded 392
failed 391

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graded 18446
graded 10385
graded 10099

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graded 21050
graded 13148
graded 13117

Sample-efficient reinforcement learning in Minecraft

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graded 18575
graded 15152
graded 11232

Multi Agent Reinforcement Learning on Trains.

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failed 18455
failed 18370
failed 18105

Recognise Handwritten Digits

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failed 60098

Robots that learn to interact with the environment autonomously

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graded 11208
failed 11198
failed 11193

A new benchmark for Artificial Intelligence (AI) research in Reinforcement Learning

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graded 7057
graded 664
graded 663

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graded 1137
graded 1135
graded 1134

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graded 9169
graded 9164

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graded 9168
graded 9163

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graded 9167
failed 9165
failed 9162
Gold 0
Silver 0
Bronze 2
Trustable
May 16, 2020
Newtonian
May 16, 2020

Badges


  • May 16, 2020
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    May 16, 2020

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  • May 16, 2020
  • Kudos! You've won a bronze badge in this challenge. Keep up the great work!
    Challenge: ORIENTME
    May 16, 2020
Participant Rating
shivam
20161302_animesh 123
Participant Rating

NeurIPS 2020: Procgen Competition

Suggestion to switch from spot to on-demand

8 days ago

@jurgisp: This is a valid suggestion. We will discuss internally early tomorrow, and adjust the submission quotas for the last week and move to on-demand instances.

We should be able to manage 2 submissions a day until the end of the competitions.

We will post an update on this thread after a decision has been made.

Cheers,
Mohanty

Anyone else having trouble with Plunder rollout timeout?

23 days ago

Hi everyone,

We are acknowledging this issue. And after discussing internally, we will post an update later today.

But overall, we would be okay with relaxing (a little bit) the timeouts for the rollouts in this and subsequent rounds.

Cheers,
Mohanty

FAQ: Round 1 evaluations configuration

About 1 month ago

@scitator: We will unfortunately have to stick to the ray+rllib starter kit that we have been using since the beginning of the competition.

We will however be open to suggestions around how the starter kit should look like for the future iterations of this competition.

Is the private environment score on public leaderboard

3 months ago

Hi Dipam,

Thanks for pointing this out. And yes we are aware the releasing the private score will lead to metric hacking.

But the metric hacking in this round will not help in the subsequent rounds where we will have different private environments. And finally at the end of the competitions we will have a final exhaustive evaluation where the code submissions will be evaluated on all the available public environments and all the private environments to measure both sample efficiency and generalisation.

Hence any metric hacking attempts in these rounds will not bear fruits.

The private scores in this round are made available to the participants to also prime the community of participants to get used to being evaluated on completely unseen environments.

Hope this clarifies your question.
Cheers,
Mohanty

Selecting seeds during training

4 months ago

Hi @Leckofunny,

So in the warm-up round and round-1, we will not be evaluating generalization. So during the training phase your code will have access to all the levels.

In round-2, we will be restricting access to only 200 levels during the training phase by enforcing num_levels=200 during all env instantiation.

Does this answer your question ?.

Cheers,
Mohanty

Impala Pytorch Baseline Bug(s)

4 months ago

You mean low throughput on the evaluation server or also locally ?

In any case, @jyotish: do you want to share the throughput spreadsheet you prepared to tune the num_workers etc for the baselines ?
It might be helpful for participants to get a rough baseline of what throughput to expect in different scenarios.

Several questions about the competition

4 months ago

Hi @the_raven_chaser,

When you are using num_levels=0 during training, the env samples from all the possible levels for the said env. So it would make sense to use num_levels=0 during your local evaluation too.

And yes, we use the difficult as easy throughout the competition.

Several questions about the competition

4 months ago

@the_raven_chaser: the num_levels=200 setting would only be used in the final round when we are evaluating the generalization.

For the warm_up round and Round 1 of the competition, there are no restrictions on num_levels, and hence technically we are only measuring sample efficiency.

Multi-Task Challenge?

4 months ago

@Leckofunny: while there are multiple environments that your submitted code will be evaluated against, there is no expectation to jointly learn across all the environments.

Your code will be evaluated independently across each of the N environments (depending on the round), and then the performances across all aggregated.

So in practice, if your submission is being evaluated against N different environments, then at the end of the N parallal training phases, we will have N different agents, one for each of the environments.

Hope this is clarifying,
Cheers,
Mohanty

About the NeurIPS 2020: Procgen Competition category

6 months ago

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Seismic Facies Identification Challenge

πŸ“… Deadline Extension

13 days ago

The deadline for Round-1 submissions will be extended until, 27.10.2020, 12:00 UTC.

The following round timelines are adjusted as follows :

Round-1 : September 14th, 2020 - October 27th, 2020
Round-2 : October 28th, 2020 - November 30th, 2020

The community contribution prize deadline is also extended until 23rd October, 2020, 12:00 UTC.

About the number of submission

28 days ago

@AmaurySu: I acknowledge the argument, but the low per-day submission count is by design.

If we provided a much larger number of submissions, then in the process of trying to fix the divergence in the validation set scores and training set scores, you will end up overfitting to the test set.

In this case, you should try ensuring that multiple training-validation splits at your end have consistent scores, and then ideally a similar score should translate as the score on the test set.

Cheers,
Mohanty

Announcement : Dataset Update!

About 1 month ago

We noticed a data alignment issue in the released dataset. The said issue has been fixed at 16 Sep 2020 19:14:27 CEST and all the dataset files have been updated.
If you have downloaded the data before that, we request you to redownload the corrected datasets from the Resources section.
Apologies for any inconvenience caused.

Cheers,
Mohanty

NoSuchKey when downloading data

About 1 month ago

@cfernhout: You should be able to download the data now ! Cheers, mohanty !

NoSuchKey when downloading data

About 1 month ago

@cfernhout: We are updating all the datasets at the moment, and the datasets should be back online in about 20 minutes from now. Sorry for the inconvenience.

Clarification : Submission Count

About 1 month ago

@rohitmidha23: the number of submissions is 5 per day, and we will be updating the same on the challenge overview.

Thanks,
Mohanty

Rule Clarification: Code release

About 1 month ago

Hi @NotAlphaGo,

An express code release is not required for this competition. However the participants will have to share their (reproducible) code with the organizers for a manual verification before any prizes can be claimed.

That said, the nature of the Community Contribution Prizes require the associated code to be released publicly, however you have complete freedom to choose a license of your choice to release the code under.

Cheers,
Mohanty

PS: the site wide Terms impose an MIT license if you do not attach a license already. In case if you attach a license of your choice, then that overrides the default MIT license.

Learning to Smell

πŸ“… Round-1 Deadline Extension

13 days ago

The deadline for Round-1 submissions will be extended until, 27.10.2020, 12:00 UTC.

The following round timelines are adjusted as follows :

Round-1 : September 8th, 2020 - October 27th, 2020
Round-2 : October 28th, 2020 - November 29th, 2020
Round-3 : December 1st, 2020 - January 10th, 2021.

The community contribution prize deadline is also extended until 23rd October, 2020, 12:00 UTC.

What is the meaning of top2 in the new leaderboard?

About 1 month ago

The final ranks are determined by the top-5 score. In the unlikely event of an exact tie in top-5 score, top-2 will be used as a tie breaker.

"AssertionError: Unknown smell words provided in the predictions file"

About 1 month ago

@cedric_bouysset @mtrofimov : Confirming that we have updated the evaluator to be more kind towards repeated words in the same sentence. This was also a bug only in the sentence validation. During the score computation, the list of words was always type casted into a set which ensured that duplicate iterations of the same word would not affect the final score.

"AssertionError: Unknown smell words provided in the predictions file"

About 1 month ago

@guillaumegodin: I think @mtrofimov 's point was more around a helpful error message so people are not left confused.

We are debugging this particular issue, and will get back on this thread with an update soon.

Cheers,

Question about rounds

About 1 month ago

@robert_allaway: That is a good question, and happy to clarify. Please find my responses inline.

Will we need to create Docker and/or Singularity containers?

The submissions will be code repositories with a Dockerfile in it, and we will be building docker images (and subsequently orchestrating them as docker containers)

Will the submissions have access to GPU (and if so, what kind)?

Yes. The submissions can request a GPU (by using a friendly config file), and at the moment we can confirm that all submissions will have access to atleast a NVIDIA K80, but we might be able to also allot NVIDIA V100s (to be announced over the next few weeks).

What is the maximum runtime, CPU cores, memory available to the submissions?

All submissions will have access to 4 CPU cores and 16GB of memory. The maximum runtime has not been decided yet, and will be decided at the end of the first round. A tentative number will be of the order of a max timelimit of 3s / data-point.

Will the containers have networks access?

The containers will not have any network access to prevent any accidental or malicious data leak.

Cheers,
Mohanty

Question about rounds

About 1 month ago

@young: No, there are no qualification criterias across the rounds. So all participants will be able to make submissions across all the rounds independently.

Why do invalid submissions count against quota?

About 1 month ago

@robert_allaway: Thanks for pointing this out, and we have fixed the same. Now upto 5 failed submissions will not count towards your submission quota. And we have also increased the submission quota to 10 per day.

Best of Luck,
Mohanty

External solution using using Graph Neural Networks (GNNs)

About 1 month ago

@hengck23: we do have some broad ontology of how all the labels are related to each other, and we will be releasing the same data in the subsequent round. But until then, it is indeed a clever idea to try and build an ontology of the odor words just by using pre existing language models. Would love to see how they compare with the ontology we will finally release.

If you come up with some exploratory notebooks in that direction, we will strongly encourage you to share some colab links for others to jump on exploring the idea !

Cheers !

Interpretation of repeated "sentence" values

About 1 month ago

@young @guillaumegodin: Also confirming that, the datasets in the resources section have been updated to remove the duplicate items.

Cheers

Interpretation of repeated "sentence" values

About 1 month ago

@robert_allaway: Thanks for pointing it out. The reason for the repetitions of the odor words in some of the sentences is because many low-frequency odor words were replaced with their parent categories in the first version of the dataset. Hence, in this case, all the repetitions can be safely treated as a single instance of the odor word in the same sentence.

In the example above, the sentence for C=CCS can be treated simply as alliaceous,cooked,roasted,burnt,meat.

In the future rounds of the competitions we will be releasing the data without the low-frequency odor word replacement.

In any case, given that each of the sentences represent a set of the odor words, the representation do not affect the problem, or the evaluation metric computation. We will however soon update the current dataset to remove the above mentioned replications.

Cheers,
Mohanty

Question about rounds

About 1 month ago

Hi @denis_vorotyntsev,

Across the different rounds we will be introducing more data, and also we will transition slowly from a simple submission system where we evaluate just the submitted predictions to a submission system where we evaluate the code submitted by participants on some internal test data which cannot be released due to legal constraints.

Hope that clarifies your question.

Cheers,
Mohanty

RE: What is the cause of ambiguity of structure and odor label

About 1 month ago

Hi @guillaumegodin,

Given you are an active organizer on the platform, it might be great if you can update a profile picture for your account. You can do so at :

  • Go to aicrowd.com
  • Click on your profile image on the top-righ
  • Edit Profile

Thanks,
Mohanty

Mailing list

About 2 months ago

Hi Martin,

I am looping in Shivam to respond on the emails approval.

Cheers,
Mohanty

Mailing list

About 2 months ago

RE: Computational approach

6 months ago

More concretely, I remember your tweet, and it actually resonated well with something I had planned for the Blitz. Would you be interested in doing a screencast (imagine a joint video call with screen share with 2-3 people) who collaboratively try to solve each of the problems one after the other :wink: Writing code on the go (with all the mess and mistakes :’)), with a beginner-friendly target audience in mind :wink:

I will be doing that myself. But I thought it would be cooler if 2-3 people are doing it together where everyone thinks out loud. Disclaimer : It can get messy even in case of really simple problems like these :wink:

https://discourse.aicrowd.com/t/

6 months ago

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AI for Good - AI Blitz #3

Explained by the Community | 100 CHF Prize contest πŸŽ‰

About 1 month ago

@ashwin_ramesh: You should consider including a Google Colab link for easier replication by the participants. Great job nevertheless ! :tada:

Can we use pre-trained pytorch models?

About 2 months ago

Yes, the broader sentiment is that as long as the pretrained models are generally available for all participants you can very well use them.

It would also be important to announce all such pretrained models that you are using, on the forums.

Cheers,
Mohanty

CYD Campus Aircraft Localization Competition

Affiliation of richardalligier

3 months ago

Hi everyone,

I appreciate discussing the topic in the open, and very much appreciate the clarifications provided by @richardalligier and @masorx.

I am also particularly disappointed by the tone of the messages by @UserSerb.
As someone who has been working quite hard to help shape the AIcrowd Community, I am convinced this behavior is not welcome here.

Coming back to the actual topic of this thread. Here is what we know :

  • @richardalligier has been working with the raw ADS-B data by applying to get access to the data via the OpenSky Network webpage. As any other researcher interested in the topic could very well get.
  • As confirmed by @masorx, Richard has no affiliation with OpenSky network, AIcrowd, and has no privileged access to the test sets, or any private decisions made when designing the competition.
  • As confirmed by @masorx, the raw OpenSky data that Richard had access to does not have the timinig and the RSS data that are key to this competition.

I acknowledge the concerns of @sergei_markochev, but they have been very well cleared by @masorx.
If we host a competition around a dataset derived from ImageNet, it will be really hard to dis-qualify all the participants who have had experience working on the ImageNet before the competition began (again by requesting access to the dataset through the website like any other researcher).

Conditional on the fact that @richardalligier and @masorx have established their positions correctly, my personal assessment on this topic is that there has been no violation of rules.

@UberSerb: The tone of your messages are not in the spirit of the community that we are trying to build here. We acknowledge your threats to sue everyone involved, but we cannot also sit silently while you harass members of our community publicly. We welcome you and β€œyour friend in zurich” to send us a legal notice, if you can even actually make a case. You can reach out to us at hello@aicrowd.com.
If we receive another incident report on harassment related to your account, we will have to suspend your account.

To avoid situations like these, at AIcrowd, we will work urgently to put together a Code of Conduct which can help set guidelines on what behaviors are acceptable in the community and what are not. I apologize for the oversight on our end to not have a mature Code of Conduct in place already.

I finally would like to thank @vitaly_bondar for speaking up. We need more community members like you to help make this is safe space that our members enjoy devoting their time to.

Best of luck to all the competitors.

Sharada Mohanty,
CEO / Co-Founder,
AIcrowd

About the CYD Campus Aircraft Localization Competition category

7 months ago

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WNMAL

About the WNMAL category

4 months ago

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WETHR

About the WETHR category

4 months ago

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WAVES

About the WAVES category

4 months ago

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WEIGT

About the WEIGT category

4 months ago

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YEAST

About the YEAST category

4 months ago

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ALOID

About the ALOID category

4 months ago

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PETCF

About the PETCF category

4 months ago

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BRAND

About the BRAND category

4 months ago

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CLMTE

About the CLMTE category

4 months ago

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About the TWTTR category

4 months ago

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SHOOT

About the SHOOT category

4 months ago

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About the POKEM category

4 months ago

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PHOTO

About the PHOTO category

5 months ago

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ONRET

About the ONRET category

5 months ago

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AGREE

About the AGREE category

5 months ago

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INSCT

About the INSCT category

5 months ago

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About the POLLN category

5 months ago

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5 months ago

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Test Eua Files

About the Test Eua Files category

5 months ago

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KEGGN

About the KEGGN category

5 months ago

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REDIT

About the REDIT category

5 months ago

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NeurIPS 2020: MineRL Competition

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AIcrowd Blitz⚑#2

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Labor

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MASKD

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ACTVT-ef4754

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ACTVT-a267bb

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ACTVT

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ECCV 2020 Commands 4 Autonomous Vehicles

Quick-Start Model

5 months ago

About the ECCV 2020 Commands 4 Autonomous Vehicles category

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Food Recognition Challenge

Round 2 Finished

5 months ago

Hi @simon_mezgec,

Thank you for your participation in the competition !
Pulling off code based submissions like these are actually quite hard because of the many moving parts, but the patience and feedback from participants like you help us get better one little step at a time. So thank you again !!

And this competition is based on top of this idea of trying to truly do Open Research, where we share our data and the results with the whole community even before they are mature, and hopefully engage the community to get much more mature and much better results to begin with ! We hope to see your continued engagement in the competition ! The official announcement for the food competition should come out soon, and we hope to gather all the top and active participants on a few community calls to register your voices in the future directions of this research initiative !

Looking forward to talk to you soon,
Mohanty

New tag does not create an issue or evaluation

6 months ago

Another hypothesis I have, is that in your git history you have large models checked in.
Even if you use git-lfs from now, your git client will try to push the large models in your git history to our github endpoint, which would reject the request because of it breaching the file limit.

A solution could be to scrub your repository history off of large file blobs.

Cheers,
Mohanty

New tag does not create an issue or evaluation

6 months ago

Weird. I am pretty sure, I have checked in much larger models via LFS.

@shivam: do let us know if you figure out the reason.

New tag does not create an issue or evaluation

6 months ago

@frgfm: I suspect you are actually not using GIT-LFS to check in your models ?

@shivam: Maybe we should reduce the file size limits of file blobs that can be checked in directly via git. That helps ensure if checkpoints are by chance being checked into the repository directly via git, it should throw up a meaningful error much before.

Cheers,
Mohanty

Mask Detection Challenge

About the Mask Detection Challenge category

5 months ago

Interested in detecting masks in the wild? Train object detection models
capable of identifying the location of masked faces in an image as well
as the location of unmasked faces in the image.

:muscle: Challenge Page: https://www.aicrowd.com/challenges/mask-detection-challenge

:speaking_head_in_silhouette: Discussion Forum: https://discourse.aicrowd.com/c/maskd-mask-detection-challenge/261

ADCLK-1fd6b6

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ADCLK-a593fa

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TMPMN

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ADCLK-c5dd2c

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ADCLK

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test_edu

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test_educational-7041c7

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test_educational-f69bb0

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test_educational-e92a0e

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test_educational-e03fb8

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test_educational-841666

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test_educational

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dfsdsfdsfds-a78d34

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dfsdsfdsfds

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DIBRD

Use of external data

5 months ago

Hi @O_O,

Thank you for the thoughtful comment, and I personally understand where it comes from.
And I was expecting something along these lines when I wrote my previous comment.

Much of your comment is based around the idea of β€œreleasing the test set”.

In context of DIBRD, the actual test set (with labels) is one google search away. When I included the link, it was also an attempt at being more transparent. Security through obscurity is a myth ! A handful of people who already were abusing the dataset had an unfair advantage which many other had no clue about. Even in a completely competitive setup, I would be a lot more comfortable knowing that everyone had equal access to all information.

Coming to ORIENTME. Great suggestion about actually not releasing the test set. Infact, a lot of the research challenge we run do not actually release the test set at all. But given that those competitions expect code submissions (imagine elaborate code repositories with exotic software runtimes), they happen to have a huge barrier to entry for participants, especially the ones quite new to the field.
And more so, in context of ORIENTME, have you considered that maybe the actual insight on how you can use the test data cleverly was the takeaway we hoped the participants would arrive independently at ? Historically speaking, many hard problems, and many amazing results have had a key moment like that : a simple solution hugely outperforms the obvious more sophisticated solution. As mentioned in this response, one of my most favorite examples of this phenomenon is the results detailed in this paper : https://arxiv.org/pdf/1505.04467.pdf

And thank you for highlighting our faults, we happily acknowledge that this is a huge learning experience for us, with every new challenge that we run. And we will continue to try and improve the experience we bring for the participants. And thank you for all the feedback here, we will weigh them in in the design process for the next iteration of AIcrowd Blitz.

Thanks,
Mohanty

Use of external data

5 months ago

@gaetan_ramet: Algorithmic solutions are acceptable. Infact, we wish computationally feasible Algorithmic solutions existed for all ML problems :smiley:

100% reproducibility is ideal, but we understand if some variation in the result is present. The internal team will use best judgement to deal with any arbitration related to the same. In some future competitions we will also collect code as a part of the evaluation process (like numerous of research challenges we run on AIcrowd).

We are finalizing the guidelines for publications of the solutions, but they will all be aggregated in a single repository with proper credit attribution (via the git authorship attribution). We will release the same soon.

Cheers,
Mohanty

Use of external data

5 months ago

@gaetan_ramet : That does indeed qualify as β€œunfair activity”.

To help put this in perspective, AIcrowd Blitz is an educational initiative. The goal here is to encourage community members who are interested in learning about ML by using these problems as short term goals. Some of the problems in AIcrowd Blitz (and in the broader educational initiatives of AIcrowd) will be based on text book toy problems, publicly available datasets, etc. Hence, someone willing to try and cheat on a problem in these educational initiatives might very well cheat. That is definitely against the spirit of this event.

Also, at the end of the competition before claiming any of the token prizes, the participants are expected to publicly share their code/notebooks that they used to generate the final predictions. If that is not the case, then we will unfortunately have to disqualify the said submission and also cite the reason for the same (something which stays a public record forever).

I like to think of these educational problems as a set of weekly/monthly milestones that we would share with all of our community, especially the young members of the community who are very new to the field. These milestones will hopefully help everyone to be consistent while they are trying to learn various aspects of AI and ML. (Something similar to daily health goals many people like to have : drink N glasses of water, take M steps, etc).

The existence of the centralized leaderboard is to help everyone see the broad progress of everyone else who are in the same boat as them. Now, if some participants can gain the satisfaction of solving a problem simply by cheating, then it is mostly a loss for them !

That said, as soon as the competition ends on May 17th, we will internally be coordinating with all the top participants in the competition to help create a shared set of resources that others can learn from. I believe, that will also help us remove and disqualify submissions which have categorically cheated in the competition.

Cheers,
Mohanty

PS: For participants with the only objective to cheat, here is the original source of the dataset : And for participants , here is the original source of the dateset : https://archive.ics.uci.edu/ml/datasets/Diabetic+Retinopathy+Debrecen+Data+Set
(Also cited in the actual challenge references section)

About the DIBRD category

6 months ago

Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world. Deep Learning has given us tremendous power in the field of computer vision. In some fields of vision ,computers can now see and perceive beyond human capabilities. But with great power comes responsibility. The problem we have for you is to classify the patient’s retina as being diabetic or not diabetic taking into consideration the available image features in the dataset. To know more about diabetic retinopathy click here.

Understand with code! Here is getting started code for you.:smile:

:muscle: Challenge Page : https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/dibrd-predict-diabetic-retinopathy/

:speaking_head: Discussion Forum : https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/dibrd-predict-diabetic-retinopathy/discussion

:trophy: leaderboard : https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/dibrd-predict-diabetic-retinopathy/leaderboards

NeurIPS 2020: Flatland Challenge

About the NeurIPS 2020: Flatland Challenge category

5 months ago

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AZACS

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5 months ago

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ADCLK - Predict If An Ad Will Be Clicked

About the ADCLK - Predict If An Ad Will Be Clicked category

5 months ago

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ORIENTME

Column names in the training and testing set

5 months ago

@nishanth_s: Are you using the updated version of the dataset ? It should have just two columns in the training set : filename and xRot. Where filename is the filename of the associated image, and xRot is explained here : https://gitlab.aicrowd.com/aicrowd/practice-challenges/aicrowd_ORIENTME_challenge#-dataset

Cheers,
Mohanty

Computational approach

6 months ago

Hi @Johnowhitaker ,

Thats a great observation, and we are very aware of that.
And infact, you could argue that the imputation based approach will work equally well even if you had to predict the rotation angles across three axes.

In any case, this still requires you to understand the notion of a dense β€œrepresentation” of each of the data points (images of rubiks cube in this case), to be able to interpolate from the training dataset. And we choose a rubiks cube here for a reason : so that participants who are not experienced in AI/ML space can still intuitively try and come up with good representations based on a set of simple rules. The future versions of the task (for the 2nd AIcrowd Blitz scheduled to be launch a week after this one ends) will have arbitrary models which will make that representation learning task a bit more difficult.

But, if you are really into a research-grade-hard-variation (:wink:) of this problem, you should definitely check the NeurIPS 2019 Disentanglement Challenge that we put together to push the state of art in Representation Learning.

But in any case, the goal of these problems in AIcrowd Blitz are not to come up with the best possible solution which solves the said problem, but actually to introduce a series of problems of varying difficulty levels which encourage a lot more people to engage in this whole space of AI/ML.

While problems like these might seem trivial (after cleverly connecting the initial dots in the problem statement), the simple and key ideas here still continue to be major barriers to entry for hundreds and thousands of potential β€œresearch collaborators” who never make the leap to try and understand the basic primitives in our domain, because it always looked so daunting and intimidating. Infact, as soon as the competition ends on May 17th, we have a dedicated 1 week of dissecting all the problems mentioned here as a community - but theres a catch - here the goal would be to try and explain the solutions to all these problems to an absolute beginner, who has no experience in Machine Learning, but happens to be a exceptionally great programmer.

Also, its interesting to highlight the story of this paper : https://arxiv.org/pdf/1505.04467.pdf around Image Captioning. This paper came out a year or so later after the First Image Captioning model made waves, in media, in academic circles, on twitter, everywhere !! This was written by the (almost) same authors, but highlighted a very key idea that being able to impute efficiently on your training set, using ridiculously simple ideas, might help you solve rather (seemingly) complex tasks with just simple ideas !

My personal vision here is to build a community here around AIcrowd Blitz, which acts as a safe space for anyone who is willing to learn about AI/ML while using these problems as encouraging milestones. And I am hoping to gather a LOT MORE experienced researchers to come and patiently mentor the next generation of AI Researchers, irrespective of where they come from, their academic pedigree, their age, or their domain of expertise.

And given your thoughtful inputs and also the participation in this competition, I really think you should definitely come help us make many of these ideas accessible to the many who are still daunted by them :wink:

[Important] Dataset + Problem Update

6 months ago

Sorry for the confusion. It is indeed a single axis. That is consistently used to generate the whole dataset.

Query regarding ORIENTME data

6 months ago

@bobthebuilder: I have posted an update on this problem here : [Important] Dataset + Problem Update

Thanks for all your inputs.
We also took the time to simplify the problem a bit more.
We could have temporarily solved the problem by ensuring that Gimbal Locks are not represented in the training and test sets. But on some initial exploration, we realised that most models would still struggle to learn properly in that loss landscape. Our whole goal to use Euler Angles was to make the notion of orientation intuitive for the participants. And trying to bring in Quaternions now would solve the problems here, but also increase the complexity of the task from a ML pov. So we would leave that for a future version of AIcrowd Blitz. In the meantime, we come up with a simplified problem statement, where the goal is to predict the orientation around an arbitrary axis that we used to generate the training and test set.

Cheers,
Mohanty

[Important] Dataset + Problem Update

6 months ago

Hi everyone,

Based on the numerous feedback we received on this problem, we have now updated the problem statement, and the associated dataset to address the said feedback. In this post, we outline the key changes that have been made and the broad reasoning behind the same.

Key Changes

  • The new dataset is generated by rotating the Rubik’s cube around an arbitrarily chosen axes. The said axis is consistent throughout the whole dataset.
  • In view of the previous change, the yRot, zRot parameters from the training set have been dropped, as the updated problem statement is to just estimate the xRot (rotation in 0-360 degrees) across an arbitrarily chosen axis.
  • The new dataset has 5,000 images in the training set, and 5,000 images in the test set.

NOTE: Please download the whole dataset again before making further submissions to this problem.

Both these changes, also simplify the problem statement a lot more, as the final prediction has to be made in a continuous space of [0, 360] instead of [0, 360] x [0, 360] x [0, 360].

The updated problem formulation also deals with the Gimbal Lock issue in the previous training set. The initial idea was to ensure no state close to Gimbal Lock states are represented in the training set and the test set, but clearly, due to an oversight at my end, the error crept up into the final production dataset. Thanks @bobthebuilder for pointing it out!

We hope you guys have fun trying to solve the updated problem statement. And please feel free to reach out to us in case you have any questions or concerns.

Best of Luck,
Mohanty

Query regarding ORIENTME data

6 months ago

@bobthebuilder: No, we use the exact same model. In the dataset they are just rendered in openGL, and in the screenshots above, I quickly rendered it in Blender.

And also, the cube doesnt have a β€œcyan” face, its probably the blue face looking that way while taking into account the lighting and the material.

In any case, we are currently preparing a new version of the dataset. where we also simplify the problem a bit. So please expect an update from us within the next few hours.

Query regarding ORIENTME data

6 months ago

@bobthebuilder: I am not sure, if I correctly understand the images you have attached. But cant the L-R positioning of the Blue and White be affected if you are looking at it β€œfrom the top” or β€œfrom the bottom” of the cube ? Does that explain the images you mention here ?

Also, for generating the data, we use a simple 3d model of a Rubik’s cube. And here are some screenshots by manipulating the camera angles of the rubiks cube to help you get a proper view of the cube from all angles.

Query regarding ORIENTME data

6 months ago

@bobthebuilder: That is indeed a valid concern raised especially in context of Gimbal lock.

We will post a fix to the data, and an update soon. Thanks for pointing this out, and for your patience.

About the ORIENTME category

6 months ago

Solving a rubik’s cube is now too mainstream they say. But what if you have 100,000 pictures of the rubicks cube and you are asked to stitch it all together? This is not a problem we need, this is a problem we deserve!

For input you will be given a large number of images, for about half of them, we have measured the orientation of the cube. But to be able to stitch all those images together, you have to figure out how to predict the orientation of the Rubik's Cube for the rest of the images.

Understand with code! Here is some code to get you started right away ! :smile:

:muscle: Challenge Page : https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/orientme-estimate-the-orientation-of-a-rubiks-cube

:speaking_head: Discussion Forum : https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/orientme-estimate-the-orientation-of-a-rubiks-cube/discussion

:trophy: leaderboard : https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/orientme-estimate-the-orientation-of-a-rubiks-cube/leaderboards

PRKNS - Predict Parkinsons Disease-780601

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6 months ago

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PRKNS - Predict Parkinsons Disease-e9fc04

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PRKNS - Predict Parkinsons Disease

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6 months ago

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TartanAir Visual SLAM - Stereo Track

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6 months ago

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Temp Challenge

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6 months ago

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AIcrowd Blitz - May 2020

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6 months ago

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MINILEAVES

About the MINILEAVES category

6 months ago

Can you detect plant diseases just by examining the images of the plant’s leaves? Sounds Tough…… Can you do the same task if the images are at a really low resolution? …Welcome to your new challenge!

In this task participants have to correctly identify a disease-class from low-resolution images of plant-leaves.

:muscle: Challenge Page: https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/minileaves/

:speaking_head: Discussion Forum: https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/minileaves/discussion

:trophy: Leaderboard: https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/minileaves/leaderboards

FOODC

About the FOODC category

6 months ago

Maintaining a healthy diet is difficult. As the saying goes, the best way to escape a problem is to solve it. So why not leverage the power of deep learning and computer vision to build the foundation of a semi-automated food tracking application?

With over 9300 hand-annotated images with 61 classes, the challenge is to train accurate models that can look at images of food items and detect the food items present in the image. It’s time to unleash the food (data)scientist in you! Given any image , identify the food item present in it.

Understand with code! Here is getting started code for you. πŸ˜„

:muscle: Challenge Page: https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/foodc-recognise-food-items

:speaking_head: Discussion Forum: https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/foodc-recognise-food-items/discussion

:trophy: Leaderboard: https://www.aicrowd.com/challenges/aicrowd-blitz-may-2020/problems/foodc/leaderboards

PTEMP -

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6 months ago

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YOUTB

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6 months ago

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WAVEC

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6 months ago

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SPRTS

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6 months ago

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QUERY

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6 months ago

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PWRPL

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POSTN

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6 months ago

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NOISE

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6 months ago

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MUSIC

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CRIME

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WINEQ

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TRVLR

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STDEV

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STATL

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SKILL

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SDRVD - Sensorless Drive Diagnosis

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PRTNS

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POWER

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CHESS

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BLOGF

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AGEPR

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tret13

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CRDIO

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GSTTE

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THROD

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SHTTL

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MDLON

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CARGO

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KDNEY

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CONCT

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INTAD

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SENSR

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FORTP

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  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

Discourse Category Name That Exists

About the Discourse Category Name That Exists category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

Way To Long Chalenge Name - aaaaaaaaaaaaaaaaaaa...

About the Way To Long Chalenge Name - aaaaaaaaaaaaaaaaaaa... category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

Short Challenge Name

About the Short Challenge Name category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

BUMPS

About the BUMPS category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

GAMMA

About the GAMMA category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

QSARB

About the QSARB category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

MSHRM

About the MSHRM category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

WILTS

About the WILTS category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

FRSTT

About the FRSTT category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

ONSPI

About the ONSPI category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

PHISH

About the PHISH category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

SPFDS - Recognize Steel Plates Faults

About the SPFDS - Recognize Steel Plates Faults category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

BNOTE

About the BNOTE category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

CNTMC

About the CNTMC category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

BHPOB

About the BHPOB category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

WILDS

About the WILDS category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

SEZUR

About the SEZUR category

6 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

HTSPC- Hate Speech Classification

About the HTSPC- Hate Speech Classification category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

TJEDC - Tom and Jerry Emotion Detection Challenge

About the TJEDC - Tom and Jerry Emotion Detection Challenge category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

COVID - Drug Discovery for COVID19

About the COVID - Drug Discovery for COVID19 category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

ONPDS

About the ONPDS category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

Columns-Property Annotation (CPA) Challenge

About the Columns-Property Annotation (CPA) Challenge category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

Cell-Entity Annotation (CEA) Challenge

About the Cell-Entity Annotation (CEA) Challenge category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

Column-Type Annotation (CTA) Challenge

About the Column-Type Annotation (CTA) Challenge category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

TartanAir Visual SLAM - Mono Track

About the TartanAir Visual SLAM - Mono Track category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

REAL 2020 - Robot open-Ended Autonomous Learning

About the REAL 2020 - Robot open-Ended Autonomous Learning category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

Spotify Million Playlist Dataset Challenge

About the Spotify Million Playlist Dataset Challenge category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

CRDSM

About the CRDSM category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

pandemic-rl

About the pandemic-rl category

7 months ago

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OCPDT - Occupancy Detection-254310

About the OCPDT - Occupancy Detection-254310 category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

OCPDT - Occupancy Detection-d5215a

About the OCPDT - Occupancy Detection-d5215a category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

OCPDT

About the OCPDT category

7 months ago

(Replace this first paragraph with a brief description of your new category. This guidance will appear in the category selection area, so try to keep it below 200 characters.)

Use the following paragraphs for a longer description, or to establish category guidelines or rules:

  • Why should people use this category? What is it for?

  • How exactly is this different than the other categories we already have?

  • What should topics in this category generally contain?

  • Do we need this category? Can we merge with another category, or subcategory?

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