Loading
2 Follower
0 Following
dipam
Dipam Chakraborty

Organization

ML Engineer at AIcrowd

Location

Kolkata, IN

Badges

7
4
3

Connect

Activity

Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mon
Wed
Fri

Ratings Progression

Loading...

Challenge Categories

Loading...

Challenges Entered

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

Latest submissions

See All
failed 208886
failed 208865
failed 208835

Latest submissions

See All
graded 209221
graded 209112
graded 209110

Latest submissions

See All
failed 209210
graded 208987
failed 208985

Latest submissions

No submissions made in this challenge.

Latest submissions

See All
failed 205233
graded 199053
graded 199034

Latest submissions

No submissions made in this challenge.

Interactive embodied agents for Human-AI collaboration

Latest submissions

See All
graded 199453
graded 199452
graded 198521

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

Latest submissions

No submissions made in this challenge.

A benchmark for image-based food recognition

Latest submissions

No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

Behavioral Representation Learning from Animal Poses.

Latest submissions

See All
graded 198630
graded 197504
graded 197503

Airborne Object Tracking Challenge

Latest submissions

No submissions made in this challenge.

ASCII-rendered single-player dungeon crawl game

Latest submissions

See All
graded 158823
failed 158209
failed 158208

Latest submissions

No submissions made in this challenge.

Latest submissions

See All
graded 152892
graded 152891
failed 152884

Machine Learning for detection of early onset of Alzheimers

Latest submissions

No submissions made in this challenge.

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

Latest submissions

No submissions made in this challenge.

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

Latest submissions

See All
graded 165209
failed 165208
failed 165206

Robustness and teamwork in a massively multiagent environment

Latest submissions

No submissions made in this challenge.

Latest submissions

No submissions made in this challenge.

5 Puzzles 21 Days. Can you solve it all?

Latest submissions

No submissions made in this challenge.

Multi-Agent Reinforcement Learning on Trains

Latest submissions

No submissions made in this challenge.

Latest submissions

See All
graded 143804
graded 125756
graded 125751

5 Problems 15 Days. Can you solve it all?

Latest submissions

No submissions made in this challenge.

Learn to Recognise New Behaviors from limited training examples.

Latest submissions

See All
graded 125756
graded 125589

Reinforcement Learning, IIT-M, assignment 1

Latest submissions

See All
graded 125767
submitted 125747
graded 125006

IIT-M, Reinforcement Learning, DP, Taxi Problem

Latest submissions

See All
graded 125767
graded 125006
graded 124921

Latest submissions

See All
graded 128400
submitted 128365

Latest submissions

See All
failed 131869
graded 130090
graded 128401

Latest submissions

See All
failed 131869
graded 130090
graded 128401

Latest submissions

See All
graded 135842
graded 130545

Latest submissions

No submissions made in this challenge.

Round 1 - Completed

Latest submissions

No submissions made in this challenge.

Identify Words from silent video inputs.

Latest submissions

No submissions made in this challenge.

Round 2 - Active | Claim AWS Credits by beating the baseline

Latest submissions

See All
graded 198630
graded 182252
graded 178951

Round 2 - Active | Claim AWS Credits by beating the baseline

Latest submissions

See All
graded 197504
graded 197503
graded 182254

Use an RL agent to build a structure with natural language inputs

Latest submissions

See All
graded 199453
graded 199452
graded 198521

Language assisted Human - AI Collaboration

Latest submissions

See All
graded 196399
graded 196379
failed 196363

Latest submissions

See All
graded 200962
failed 200887
submitted 200885

Estimate depth in aerial images from monocular downward-facing drone

Latest submissions

See All
failed 208886
failed 208865
failed 208835

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

Latest submissions

See All
failed 208496
graded 208493
failed 208492

Music source separation of an audio signal into separate tracks for vocals, bass, drums, and other

Latest submissions

See All
graded 209221
graded 209110
graded 209109

Source separation of a cinematic audio track into dialogue, sound-effects and misc.

Latest submissions

See All
graded 209112
graded 208824
graded 208821

Latest submissions

See All
graded 206453
submitted 206452
submitted 206337
Participant Rating
nachiket_dev_me18b017 0
cadabullos 0
Participant Rating

Cinematic Sound Demixing Track - CDX'23

Question about submission

3 days ago

Hi everyone,

Anyone who got a " Submission failed : You have not qualified for this round" previously, please retry your submissions, they should work now.

Question about submission

5 days ago

Hi @Tomasyu can you give the link to your submission please.

Questions about submissions

5 days ago

Hi @subatomicseer

Leaderboard A and B submission for MDX track are now enabled. The instructions are added here. In short, the keys “labelnoise” and “bleeding” have to be added to aicrowd.json

Aicrowd-bot adds people to my private submission repository for CDX track

9 days ago

Hi @subatomicseer

All the users added above are part of the organizing team. By default, we provide access to the user submitted code to the organizing team to help debug any issues participants face. However, the SDX organizers categorically requested that they not have access to any user submitted code, and we have enabled the same. The organizing team will be added to any new repositories that are used for submissions. We have also retrospectively ensured that no one from the organizing team has access to any of the repositories already submitted by the participants, including yours.

SUADD'23- Scene Understanding for Autonomous Drone

💬 Feedback and suggestion

7 days ago

The baseline was trained on the training set shared, and the current dataset used for the leaderboard was used as validation. Hence, unfortunately until that set is made public (it will be a few weeks before the end of challenge when the actual test set is ready), its not possible to reproduce the results right now.

Error in local evaluation

11 days ago

Hi @sagar_rathod

We’ve updated the file in the Resources section - suadd_23_semantic_annotations-v0.2.zip

Let me know if you still get the error with the updated dataset.

💬 Feedback and suggestion

11 days ago

Hi @adithya_t_p

The validation set is used for the public leaderboard, this set will be made public at a later stage in the competition as the test set is still in development by the organizers. So for now you have to make your own dataset split.

💬 Feedback and suggestion

11 days ago

@adithya_t_p

The baseline should work with this commit

Thanks for pointing it out, we’ll add a note in the baseline repo.

How to install mmcv-full while submission

27 days ago

@xav_c @FY1 , Please resubmit any submissions you made for which the tag didn’t reflect on the issues page. It was a problem on our end, its fixed now.

How to install mmcv-full while submission

27 days ago

Can you dm me the repository link @FY1

Visual Product Recognition Challenge 2023

Why my submission is failed?

10 days ago

Added error log on the gitlab comments

Why my submission is failed?

10 days ago

Please ensure that your code has no hardcoded values, hardcoded dictionary keys, etc. Also make sure local evaluation works.

If you’re still unable to find the error, I can check the logs manually, but this will be slow as I might not be available always and we cannot show the logs any other way.

Why my submission is failed?

10 days ago

Hello,

@strekalov @victorkras2008

The validation step is only a debugging dataset as we can’t give logs on the main dataset to prevent data leaks.

Can't download the public test dataset

16 days ago

@tomtom , I’m still unable to replicate the problem as the link is working for me. I tried it with my personal (non-admin account) and it still works.

Would it be possible for you to try it with a different internet connection?

Error on baseline submission

17 days ago

Hi @victorkras2008

Thanks for finding this, its fixed now.

Can't download the public test dataset

18 days ago

Hi @tomtom

It’s working for me, could you share what error you’re getting?

Mono Depth Perception

Update in mono-depth evaluation method

12 days ago

@xav_c

I did notice that, however your submission didn’t get NaN scores. I’ll need some time to investigate, should be resolved by tomorrow.

Update in mono-depth evaluation method

12 days ago

Hi Victor,

Thanks for pointing this out, the SILog had gone to NaN because your predictions were too large, I think you probably output the depth values without the scaling factor as shown in local_evaluation.py? The submission is now marked as failed.

Please check this function for reading depth images. The values should be closer to ~1-50.

Update in mono-depth evaluation method

17 days ago

Hi everyone,

We have made a change in the evaluation setup, to allow for models that predict relative depth maps from mono image inputs. We now apply an alignment step to the model to align a relative depth prediction to the ground truth. For more details please refer to this paper Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer.

Updated code for local evaluation of your models can be found in the starter-kit . All valid old submissions will be re-evaluated. All future submissions will be evaluated with these updated metrics.

Semantic Segmentation

Update in segmentation scoring metrics

23 days ago

Hi everyone,

We have made a change in the way metrics are calculated, to better match the standard practice used in segmentation literature. The IoU and Dice scores are now calculated per class on the entire dataset and then averaged, instead of per image. As a result, most submissions are expected to get slightly higher scores.

Updated code for local evaluation of your models can be found in the starter-kit. All valid old submissions will be re-evaluated within the next few days. All future submissions will be evaluated with these updated metrics.

dipam has not provided any information yet.

Notebooks

Create Notebook