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unnikrishnan.r
Unnikrishnan R Nair

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Ola Electric

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IN

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Challenges Entered

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graded 250402
graded 250400
graded 250205

Latest submissions

No submissions made in this challenge.

Small Object Detection and Classification

Latest submissions

No submissions made in this challenge.

Understand semantic segmentation and monocular depth estimation from downward-facing drone images

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graded 218908
failed 218906
graded 218905

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graded 209696
failed 209694
graded 209581

A benchmark for image-based food recognition

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graded 181675
graded 181661
graded 181634

Machine Learning for detection of early onset of Alzheimers

Latest submissions

No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

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

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graded 166423
graded 166370
graded 166369

A benchmark for image-based food recognition

Latest submissions

No submissions made in this challenge.

5 Puzzles, 3 Weeks. Can you solve them all? πŸ˜‰

Latest submissions

No submissions made in this challenge.

Multi Agent Reinforcement Learning on Trains.

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No submissions made in this challenge.

Latest submissions

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graded 75509
graded 75508
graded 75058

Perform semantic segmentation on aerial images from monocular downward-facing drone

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graded 218908
failed 218906
graded 218905

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graded 250402
graded 250400
graded 250205
Participant Rating
singstad90 0
themaroonknight 0
jyotish 0
krishna_kaushik 0
bartosz_ludwiczuk 0
Participant Rating
jyotish 0
nivedita_rufus 261

Task 1: Commonsense Dialogue Response Generation

Updates to Task 1 Metrics

8 months ago

We were also witnessing almost 0 leaderboard and offline correlation of scores when looking at f1 or bleu. This is a welcome change thanks for this.

However, since the api track uses gpt3.5 wont the gpt3.5 scores be naturally higher for this track? At this point in time its clearly visible on the leaderboard as well? All gpu track false are high scoring and gpu track true are low scoring.

Semantic Segmentation

Same submissions with different weights failing

Over 1 year ago

Many of our submissions with just different weights (have 1.6 second margins minimum) are failing. Usually just a resubmit fixes this but many of the submissions are pending for 6-7-8 hours plus.
Please advice. @dipam

SUADD'23- Scene Understanding for Autonomous Drone

Semantic Segmentation Validation passes but Semantic Segmentation fails

Over 1 year ago

Could you please tell us why it failed @dipam TIA.

Visual Product Recognition Challenge 2023

Inconsistencies in submission timings

Over 1 year ago

This happened multiple times so we stopped trying to submit this model.

Inconsistencies in submission timings

Over 1 year ago

submission_nick_submission_v101_6
submission_nick_submission_v101_5

Inconsistencies in submission timings

Over 1 year ago

So we have two submissions one with model x and model y. Model x inferences much faster than model y with a T4 gpu on the kaggle workspace.

Still model x submission fails (times outs) but model y succeeds.

Everything else is same in the submissions. Preprocessing, Postprocessing etc…

Food Recognition Benchmark 2022

Gitlab seems to be down

Over 2 years ago

@shivam gitlab seems to be down as of now.

Error when building Docker image in active submission

Over 2 years ago

Thanks for the fix @shivam. Another issue I am facing is that on active submission I get the message " Submission failed : The participant has no submission slots remaining for today. Please wait until 2022-05-03 06:17:25 UTC to make your next submission." But I see that I have 6 submissions remaining today.

Error when building Docker image in active submission

Over 2 years ago

Since 29th April I dont see any active submissions happening :sweat_smile: @shivam @jyotish

Error when building Docker image in active submission

Over 2 years ago

Yes I get the same error when I run the evaluation with debug flag set to false in aicrowd.json.

Build fails on setting debug = false in aicrowd.json

Over 2 years ago

By default the aicrowd.json has the debug flag set to β€œtrue”.
On evaluating I get the message β€œWarning: The evaluation is running in debug mode. You can set β€œdebug”: false in your aicrowd.json for a full evaluation.”.
However on setting debug to false the Docker image build fails.

NeurIPS 2021 AWS DeepRacer AI Driving Olympics Cha

Regarding evaluation criteria for online submissions

Almost 3 years ago

Hi everyone!
According to the competition page, we are evaluated on the following metrics:

  • Number of laps
  • Lap Time
  • Number of resets to the start line
  • Number of objects avoided

But I have found that amongst the agents that I have trained the faster agents (following the racing line) get scored much lower than the agents which go as slow as possible on the centerline. This observation has been consistent with all my evaluations.

Also the numbers which I see on the scoreboard are very close to the mean rewards my agents get across multiple runs. Is the scoreboard currently reflecting the mean rewards our agents are accumulating across multiple runs? Could the exact formula for calculating the score be revealed?

Is this a bug or am I missing something here?

ECCV 2020 Commands 4 Autonomous Vehicles

Submissions being stopped before the deadline

Over 4 years ago

No. There was one submission remaining for my team mate, at around 11:45 this submission β€œdisappeared” leaving a message β€œSubmissions will be possible as of 2020-08-01 17:40:22 UTC.”. Anyways the competition appears to have been completed so it doesn’t matter now.

Submissions being stopped before the deadline

Over 4 years ago

Its 11:45 pm UTC at the time of posting this the competitions is supposed to last till 12:01. All submissions seem to have been stopped as of now.

Linux, Robotics, Computer Vision, and NLP.