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Shubhamaicrowd
Shubham Gupta

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Haryana, IN

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Challenges Entered

What data should you label to get the most value for your money?

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A benchmark for image-based food recognition

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Behavioral Representation Learning from Animal Poses.

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Airborne Object Tracking Challenge

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ASCII-rendered single-player dungeon crawl game

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graded 150340

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Machine Learning for detection of early onset of Alzheimers

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5 Puzzles 21 Days. Can you solve it all?

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graded 172692
graded 172688
graded 172686

Sample Efficient Reinforcement Learning in Minecraft

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failed 150449

Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments

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5 Puzzles 21 Days. Can you solve it all?

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graded 169588
graded 169250

Self-driving RL on DeepRacer cars - From simulation to real world

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Robustness and teamwork in a massively multiagent environment

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graded 150842
graded 150841
graded 150839

3D Seismic Image Interpretation by Machine Learning

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5 Puzzles 21 Days. Can you solve it all?

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Play in a realistic insurance market, compete for profit!

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5 Puzzles 21 Days. Can you solve it all?

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failed 152094

5 Puzzles 21 Days. Can you solve it all?

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failed 169017
graded 149018
graded 148506

A benchmark for image-based food recognition

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Sample-efficient reinforcement learning in Minecraft

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5 Puzzles, 3 Weeks. Can you solve them all? 😉

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graded 136936
graded 135991
graded 135988

Multi-agent RL in game environment. Train your Derklings, creatures with a neural network brain, to fight for you!

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Predicting smell of molecular compounds

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5 Problems 21 Days. Can you solve it all?

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graded 122965
graded 122961
graded 122960

5 Puzzles 21 Days. Can you solve it all?

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graded 128820
failed 128427
failed 126803

5 Puzzles, 3 Weeks | Can you solve them all?

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graded 118013
graded 117983
graded 117917

5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

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5 Problems 15 Days. Can you solve it all?

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failed 141470
failed 141469

Recognise Handwritten Digits

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Crowdsourced Map Land Cover Prediction

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5 Problems 15 Days. Can you solve it all?

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submitted 165117

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

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5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

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failed 165115

ACL-BioNLP Shared Task

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Detect F1 Cars

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graded 135991
graded 135988
graded 135987

Classify F1 Cars Body

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graded 136936
graded 134005
graded 128429

Extrapolate Time Series Data

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graded 114974

Color Black and White Images

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graded 117917
graded 115153

Predict moves of a chess piece from video snippet

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Identify which side has least players

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Predict the winner through prior chess moves

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graded 122965
graded 122961
graded 122960

Predict Mars Planet Rotation

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failed 128427

Classify Stages of Mars Spacecraft

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Classify Mars Rover Images

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Detect Space Debris

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failed 126803

Fix Corrupted Mars Images

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graded 128820

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Recognize F1 Car Speed

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failed 128428
failed 128347

Remove Smoke from Image

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graded 128433
failed 128362
failed 128356

Classify Rotation of F1 Cars

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graded 128964
graded 128837

Classifying Emotion from Texts

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graded 182712
graded 141250
graded 136610

Can you classify Research Papers into different categories ?

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failed 141310
failed 141307
failed 141306

Deshuffle the Shuffled Text

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Feature Engineering in Texts

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failed 169017
graded 146672
failed 146669

Predict Text from Sound

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graded 149018
graded 148506
graded 147406

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failed 150449

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Segmenting trees from an aerial images

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graded 149736

Can you dock a spacecraft to ISS ?

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failed 152094

Can you detect Starship with unsupervised data ?

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Can you detect Icebergs in low visibility ?

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Can you remove clouds from an high altitude videos ?

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Can You Classify the Weather from the Images

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Semantic Segmentation of Self Driving Car Environment

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Predict Obstacles Around Self-Driving Cars

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Multi-Class Object Detection on Road Scene Images

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Can You Detect Cars Around You Using LiDAR Data?

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Train your RL agents

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Classifying 15 programming languages into different classes

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Can you identify who spoke these lines?

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Translate Crowd Talk (our new language) to English using Machine Translation

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A puzzle that explores the inner workings of NLP Pre-Processing

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graded 169588

Feature Engineering for data

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graded 169250

Convert Blurred image Into Clear Image

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graded 172686

Predict Mask & Bounding Box From Images

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graded 172679

Find The Correct Face In Crowd

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graded 172688
graded 172681

Predict Age From A Picture

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graded 172692

Classify Facial Expressions

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graded 172683
graded 172682

Identify Words from silent video inputs.

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graded 180323

Detect products & calculate the bill for a self checkout machine

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graded 190197
graded 189460
graded 189428

Group similar reviews together & perform sentiment analysis.

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graded 187338
Participant Rating
rdeggau 153
vrv 0
Participant Rating
mohanty

Mask Prediction

The mistakes in the dataset

6 months ago

Hi @anna_mrukwa

Thank you for your keen observation and for letting us know!

We will try our best to reduce these noise in future Blitz puzzles.

However, since the number of bad samples here is low and because the ongoing AI Blitz 13 is about to end, we think it would not be wise to update the dataset at this point.
Thank you again for reporting.

Regards,
Shubhamai

Face Recognition

Extract images from the main image

6 months ago

Hi @jinoooooooooo

Yes! We have a function added in the Baseline notebook of Face Recognition Puzzle named get_target_face which simply takes the target face_no ( which will be between “00” and “99” [ in string ] ) and target_image .

def get_target_face(face_no, target_image):


  # Top-Left x, y corrdinates of the specific face 
  x, y = (int(face_no[0]))*216, (int(face_no[1]))*216

  target_face = target_image[x:x+216, y:y+216]

  return target_face

# Showing a sample face from a sample target image 

sample_target_face = get_target_face("96", sample_target)

You can find more about it in the baseline. I hope this helps!

Shubhamai

AI Blitz XIII

How to fine tune models

6 months ago

Hi @diego26dav

For these image-to-image translation tasks, I would really suggest you to check out this TensorFlow notebook on Image-to-image translation using GANs, they have some really good implementation on this for getting started. You can also check out this blog on the topic.

Shubhamai

🚨 AI Blitz 13 ⚡ Faces [New Challenge Launch]

6 months ago

Hi @notnanton

Glad to hear that you liked the challenge :slight_smile: And yes, you are allowed to use pre-trained networks, including the one you mentioned. You are also allowed to fine-tune its weights. The things that the rule doesn’t allow is using models that are not free to use and publically available. I hope this helps. Let me know if you have any more questions.

Shubhamai

Emotion Detection

Getting error while submitting the submission.csv

6 months ago

Hi, is this possible if you can share the notebook you used to make submissions in dms ? It will help us a lot to figure out the issue. In the meantime, you can also try looking at our Getting Started notebook for sentiment classification and see if there’s any major difference in terms of what commands you are using to make a submission. I hope it helps.

Shubhamai

Getting error while submitting the submission.csv

6 months ago

Hi. Can you please share with us the steps to reproduce the error so that we can figure out the exact cause of this issue ?

Regards
Shubhamai

Getting error while submitting the submission.csv

6 months ago

Hi @mohd_saqib

Thanks for letting us know. We are looking into the issue, will get back to you asap.

Shubhamai

Sentiment Classification

Request for the original images

6 months ago

Hi @jinoooooooooo

Welcome back to blitz :zap: . I can understand but sadly we cannot provide the images because the challenge is based on using the embeddings to classify the sentiment. Adding images will change a whole lot to the original challenge.

Other than that I looked at your submissions and found out you were having some issues. So the exact submission format is that you first put your submission.csv file and original_notebook.ipynb ( the notebook you generated the predictions from ) in a zip file. This is what the final zip file should look like -

── submission.zip
   ├── submission.csv
   └── original_notebook.ipynb

And then you can submit your submission.zip in on the challenge page. I hope this help :slight_smile: Let me know if you have any more questions.

Shubhamai

How embeddings were gotten?

6 months ago

The exact layer depends on the model you are using and what layer you want to extract the features from. Commonly, for transfer learning, it is the layer just before the fully connected layer. So for ex. in vgg16, it’s the last max-pooling layer. Same with resnet18, the features are extracted from the layer before the fully connected layer.

.

Here’s another blog you can read if you want to learn more about vgg16 feature extraction. I hope this helps :slight_smile:

Shubhamai

How embeddings were gotten?

6 months ago

Hi @vad13irt

So, to generate the embeddings, we first took all of the images which had their corresponding labels and put them into ( for ex. resnet18 ) model, and then we extracted the features of the images from a certain layer of the model. This blog is also quite good if you want to understand the whole process.

Let me know if you have any questions. Enjoy Blitz :zap:

Shubhamai

AI Blitz XII

What's the definition of external data?

7 months ago

Hi youssef_nader3

Apologies for the late reply here. You can freely use publicly available pre-trained models & embeddings for submission in Blitz XII. But use of external raw data is not allowed. The challenge rule generally prohibits the use of other public/private datasets which you can use to train your model or improve the scores. I hope this helps. Let me know if you still have any doubts :slight_smile:

Best
Shubhamai

Object Detection

Two questions to the " [Getting Started Notebook] Object Detection"

11 months ago

Hi, it’s fixed now!

For the -

  1. Why score = 0 & Why " Generating Predictions" has the variable ‘n’ in two for-cycles ?

I looked into the issue and turns out there were few mistakes we made in our baselines such as -

  • Not loading the model weights after training it.
    cfg.MODEL.WEIGHTS = os.path.join(cfg.OUTPUT_DIR, "model_final.pth")

  • Bounding boxes were in the wrong format
    The right format for bounding boxes is (x, y, w, h) instead of (x1, y1, x2, y2) ( which detectron2 outputted )

As for the -

  1. and “image_id”:n+1?

The image_id helps the evaluator identify predictions for each image. So there are 1000 unique images ids because there are 1000 testing images.

To know what is the image_id of each image, it is simply the file number ( for ex. 345 in 345.jpg ) + 1 because the image_id starts from 1 in our ground truth file.

I hope this helps, the getting started notebook is also updated! let me know if you still had any doubts :slight_smile:

Shubhamai

Two questions to the " [Getting Started Notebook] Object Detection"

11 months ago

Thanks for letting us know :slight_smile: I am looking into the notebook and will give you updates asap

Obstacle Prediction

505 Error everytime i open leaderboards

11 months ago

Hi, it should be working now :rocket:

505 Error everytime i open leaderboards

11 months ago

Thanks for letting us know! We are looking into the issue

AI Blitz X

Submission Guidelines

About 1 year ago

Yes, you can make submissions from your own/local machine, but the submission has to be a .ipynb notebook. In case you want to import a custom python file, you can add that python file in the assets directory and then import it in the .ipynb notebook. I hope this helps :), let me know if you have any doubts!

Cheers
Shubhamai

Submission issue on google cloud platform

About 1 year ago

Hi, can you please tell which specific puzzle you are having issues with ? We are looking into the issue however an another way you can make the submission is by wrapping up all necessary files in a zip file such such that the zip file contents tree looks something like this -
Using Docking ISS puzzle as an example

submission.zip
├── assets
│   └── submission.csv
└── original_notebook.ipynb
  • The original_notebook.ipynb is the notebook you used to train & make the predictions.
  • The submisison.csv contains the predictions of the puzzle ( the format can be different for different puzzles ).

After that you can simply submit the zip file by running
aicrowd submission create -c docking-iss -f YOUR_ZIP_FILE_PATH

Starship Detection-ca47bb

0 score but submission evaluated

About 1 year ago

I tried looking into the issue and also re-runned the submission but I couldn’t able to find anything wrong from our side, can you please check and see if the bounding boxes were in the right format (x, y, w, h) or the ImageID corresponding to bounding box is correct.

Shubhamai

Docking ISS-d5b4fb

ISS Docking leaderboard

About 1 year ago

The same question was also replied in discord too but i will also send it here in case another participant also had the same question :slight_smile:

Yep, so the Distance Loss is mainly taken into account, but in case, there was a same score in Distance Loss, the second Docking Port Loss is taken into account.

Iceberg Detection

Submission failed

About 1 year ago

Sorry for a little late reply but I looked into the notebook & the output .mp4 predictions, and found out that the videos the gen_predictions function is outputting contains only single frame.

And it’s because the predictions variable, from the model.nn_module.predict(image_batch) in gen_predictions function, has shape torch.Size([1, 1, 128, 128]) which represents a single image, the image_batch variable has also the same shape.

So i find out the main reason for this error is because you changed the batch size of test_loader from 23 ( in getting started code ) to 1. The main reason of using batch size of 23 in getting started code was because that each batch will represent each video.:slight_smile: So, you will change to change your batch size to 23 and hopefully it will all work.

Let me surely know if you have any more doubts.

Cheers
Shubhamai

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