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Shubhamai
Shubham

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#### Challenges Entered

##### Flatland 3
By AIcrowd SBB CFF FFS SNCF Deutsche Bahn

Multi-Agent RL for Trains

#### Latest submissions

 graded 153026 Sat, 21 Aug 2021 06:30:21 graded 153025 Sat, 21 Aug 2021 06:30:11 graded 153024 Sat, 21 Aug 2021 06:30:00
##### AI Blitz XIII
By AIcrowd

5 Puzzles 21 Days. Can you solve it all?

#### Latest submissions

No submissions made in this challenge.
##### NeurIPS 2021: MineRL BASALT Competition
By C.H.A.I. - UC Berkeley

Sample Efficient Reinforcement Learning in Minecraft

#### Latest submissions

No submissions made in this challenge.
##### NeurIPS 2020: Procgen Competition
By OpenAI

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

#### Latest submissions

No submissions made in this challenge.
##### NeurIPS 2021 AWS DeepRacer AI Driving Olympics Challenge
By AIcrowd

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

#### Latest submissions

No submissions made in this challenge.
##### Seismic Facies Identification Challenge
By SEAM AI

3D Seismic Image Interpretation by Machine Learning

#### Latest submissions

 failed 153028 Sat, 21 Aug 2021 07:41:23 graded 109215 Sun, 13 Dec 2020 09:20:47 graded 109213 Sun, 13 Dec 2020 09:08:05
##### AI Blitz XI
By AIcrowd

5 Puzzles 21 Days. Can you solve it all?

#### Latest submissions

No submissions made in this challenge.
##### AI Blitz X
By AIcrowd

5 Puzzles 21 Days. Can you solve it all?

#### Latest submissions

 failed 152727 Fri, 13 Aug 2021 12:52:27 graded 150974 Sun, 25 Jul 2021 05:08:03 graded 150854 Sat, 24 Jul 2021 07:45:50
##### AI Blitz #9
By AIcrowd

5 Puzzles 21 Days. Can you solve it all?

#### Latest submissions

No submissions made in this challenge.
##### Spotify Million Playlist Dataset Challenge
By Spotify

A dataset and open-ended challenge for music recommendation research

#### Latest submissions

No submissions made in this challenge.
##### Food Recognition Challenge
By Seerave Foundation

A benchmark for image-based food recognition

#### Latest submissions

 graded 109643 Tue, 15 Dec 2020 12:31:20 graded 108956 Fri, 11 Dec 2020 12:10:39 graded 108789 Thu, 10 Dec 2020 09:23:22
##### AI Blitz #8
By AIcrowd

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

#### Latest submissions

No submissions made in this challenge.
##### Dr. Derks Mutant Battlegrounds
By AIcrowd Dr Derk

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

#### Latest submissions

No submissions made in this challenge.
##### Learning to Smell
By Firmenich

Predicting smell of molecular compounds

#### Latest submissions

No submissions made in this challenge.
##### SnakeCLEF2021 - Snake Species Identification Challenge
By LifeCLEF Institute of Global Health

Classify images of snake species from around the world

#### Latest submissions

No submissions made in this challenge.
##### CYD Campus Aircraft Localization Competition
By OpenSky Network Cyber-Defence Campus, armasuisse

Find all the aircraft!

#### Latest submissions

No submissions made in this challenge.
##### AI Blitz #6
By AIcrowd

5 Problems 21 Days. Can you solve it all?

#### Latest submissions

No submissions made in this challenge.
##### AI Blitz 5 ⚡
By AIcrowd

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

#### Latest submissions

No submissions made in this challenge.
##### AI Blitz #4
By AIcrowd

5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

#### Latest submissions

 failed 153028 Sat, 21 Aug 2021 07:41:23 graded 109215 Sun, 13 Dec 2020 09:20:47 graded 109213 Sun, 13 Dec 2020 09:08:05
##### Hockey Puck Tracking Challenge
By HAC Software Inc

#### Latest submissions

No submissions made in this challenge.
##### Hockey Team Classification
By HAC Software Inc

Grouping/Sorting players into their respective teams

#### Latest submissions

No submissions made in this challenge.
##### AIcrowd Blitz⚡#2
By AIcrowd

5 Problems 15 Days. Can you solve it all?

#### Latest submissions

 graded 73857 Fri, 24 Jul 2020 07:53:04 graded 72233 Fri, 17 Jul 2020 06:49:55
##### AIcrowd Blitz - May 2020
By AIcrowd

5 Problems 15 Days. Can you solve it all?

#### Latest submissions

No submissions made in this challenge.
##### Labor
By AIcrowd

Predict Labor Class

#### Latest submissions

 graded 72233 Fri, 17 Jul 2020 06:49:55
##### AI for Good - AI Blitz #3
By AIcrowd AI for Good - ITU

5 PROBLEMS 3 WEEKS. CAN YOU SOLVE THEM ALL?

#### Latest submissions

 graded 82062 Thu, 10 Sep 2020 16:52:00 graded 81854 Wed, 9 Sep 2020 11:59:54 graded 81847 Wed, 9 Sep 2020 11:11:05
By AIcrowd

#### Latest submissions

No submissions made in this challenge.
##### SNAKE
By AIcrowd AI for Good - ITU

Venomous Snake Classification

#### Latest submissions

No submissions made in this challenge.
##### Solve Sudoku
By AIcrowd AI for Good - ITU

Solve Sudoku puzzles!

#### Latest submissions

No submissions made in this challenge.
##### LNDST
By AIcrowd AI for Good - ITU

Detect water bodies from satellite Imagery

#### Latest submissions

 graded 82062 Thu, 10 Sep 2020 16:52:00 graded 81854 Wed, 9 Sep 2020 11:59:54 graded 81847 Wed, 9 Sep 2020 11:11:05
##### AUTODRI
By AIcrowd AI for Good - ITU

Predict Steering Angle

#### Latest submissions

No submissions made in this challenge.
##### DA Wine Quality Assignment
By DA IIIT-H

Predicting wine quality

#### Latest submissions

No submissions made in this challenge.
##### DA Project Monsoon 2020
By DA IIIT-H

DA Final Project challenges for Monsoon 2020

#### Latest submissions

No submissions made in this challenge.
By HES-SO Valais

#### Latest submissions

No submissions made in this challenge.
##### Emotion Detection
By AIcrowd

Classifying Emotion from Texts

#### Latest submissions

No submissions made in this challenge.
##### De-Shuffling Text
By AIcrowd

Deshuffle the Shuffled Text

#### Latest submissions

No submissions made in this challenge.
##### NLP Feature Engineering
By AIcrowd

Feature Engineering in Texts

#### Latest submissions

No submissions made in this challenge.
##### Sound Prediction
By AIcrowd

Predict Text from Sound

#### Latest submissions

No submissions made in this challenge.

#### Latest submissions

No submissions made in this challenge.
##### Iceberg Detection
By AIcrowd

Can you detect Icebergs in low visibility ?

#### Latest submissions

 graded 150974 Sun, 25 Jul 2021 05:08:03 graded 150854 Sat, 24 Jul 2021 07:45:50 failed 150645 Thu, 22 Jul 2021 07:20:37
##### Sentiment Classification
By AIcrowd

Classify Facial Expressions

#### Latest submissions

No submissions made in this challenge.
By AIcrowd

Identify Words from silent video inputs.

#### Latest submissions

No submissions made in this challenge.
Participant Rating
Participant Rating
Shubhamai has not joined any teams yet...

### Trouble getting submissions to run

Unfortunately, The logs for the Generate Predictions On Test Data part of the evaluation remain private and only available for admins. It is due to the private test data used in Generate Predictions On Test Data part of the evaluation.

### Trouble getting submissions to run

I looked into the notebook you submitted in the submission #171169 and the error in our internal logs was IndexError: index 0 is out of bounds for axis 0 with size 0 occured on the line X1.append(df_saved_vocab[df_saved_vocab['word']==t]['min'].values[0]) . I tried executing the notebook locally with the private data and found out the error is due to the list returned by df_saved_vocab[df_saved_vocab['word']==t]['min'].values had no elements ( [] ) and when you tried to get the 0 index element by using .values[0] it resulted in the above error IndexError: index 0 is out of bounds for axis 0 with size 0 occured .

In Generate Predictions On Test Data phrase of evaluation, we have private test data of over 20k samples used for generating the predictions. In your df_saved_vocab.csv there are values of only 95 different words which can be insufficient given that our private test data has over 20k samples.

What I will suggest to try is -

1. You can either generate the embeddings in the Prediction phase of the notebook
2. You can generate the embeddings of top n most common English words and then save it in the df_saved_vocab.csv.
3. You can also add try except block in the .values[0] to make sure that if this error occurs, you can append, for ex. ( [0] ) to the X1` list.

I hope this explanation helps Let me know if you have any more doubts

Best
Shubhamai

### Trouble getting submissions to run

Hi mkeywood

I am looking into this issue and will get back to you asap

Best
Shubhamai

### Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0:

Hi pn1

The warning is due to because there are no GPUs in the evaluator. The evaluator in the NLP Feature Engineering puzzle only uses CPU for evaluation. This warning will not abort the evaluation. I hope this helps

Best,
Shubhamai

### How to deal with draws

Strange, the 9008.jpg of test doesn’t looks like a draw to me. Can you check if this is the right image.

Also, by illegal, do you only mean that in case of checkmate the player still have turn ? I am checking in my code to figure out the root of problem but can you share some samples of this case.

Shubhamai

### How to deal with draws

Hi boussif oussama .

I guess you are talking about Win prediction in which case can you please share more examples that have draws in the test set.

I am looking into the second issue and will give updates

Shubhamai

#### CHESS TRANSCRIPTION

Nope, it’s not a mistake, we are not differentiating between black/white queen in the samples of this challenge, including test ground truth, so just put small q if you find moves which have conversion of pawn to queen. Enjoy

#### Food Recognition Challenge

Hi, thanks for pointing this out! We are looking into this issue and giving updates asap

### Detectron2 Colab Notebook from Data Exploration to Training the Model 🚀

Over 2 years ago

Hi Guys, Me Shubhamai, Machine Learning Engineer working extensively in the Deep Learning & Computer Vision field.

I have created a colab notebook for this competition which contains a lot of sections including data exploration/visualizations and making model & training it and things like that.

Here is the link to the colab notebook . I hope that it will help, i would also add more things into that soon.

### No one sample in new 'test_black_white_images-v2.zip'

(post withdrawn by author, will be automatically deleted in 24 hours unless flagged)

### [Explainer] Detectron2 & COCO Dataset 🔥 • Web Application & Visualizations • End-to-End Baseline & Tensorflow

Over 2 years ago

So, me Shubhamai and I have come up with these 3 things -

# COCO Dataset & using Detectron2, MMDetection

YES! I have converted this dataset into COCO Dataset and which we train Mask-RCNN using Detectron2.

There we go boys - Colab Link

More things will be added so like this post RIGHT NOW

# Web Application & Visualisation

https://seismic-facies-identification.herokuapp.com/

But this time, I found that a great preprocessing pipeline can help to model to find accurate features and increasing overall accuracy. But it kinda isn’t that easy as it looks —

So I made a Web Application based on that which allows you to play/experiment with many of the image preprocessing functions/methods, changing parameters or writing custom image preprocessing functions to experiment.

And it also contains all the visualizations from the colab notebook .

I hope that it will help you in making the perfect preprocessing pipelines .

# End-to-End Baseline & Tensorflow

I have made a complete colab notebook from Data Exploration to Submitting Predictions. Here are some of the glimpse of the image visualization section!

And this 3D Plot!

1100×600 196 KB

## Tables of Content -

1. Setting our Workspace
2. Data Exploration
3. Image Preprocessing Techniqes
4. Creating our Dataset
5. Creating our Model
6. Training the Model
7. Evaluating the model
8. Testing on test Data
9. Generate More Data + Some tips & tricks

## The main libraries covered in this notebook is —

• Tensorflow 2.0 & Keras
• Plotly
• cv2
and much more…

The model that i am using is UNet, pretty much standard in image segmentation. More is in the colab notebook!

I hope the colab notebook will help you get started in this competition or learning something new . If the notebook did help you, make sure to like the post. lol.

Please like the topic if this helps in any way possible . I really appreciate that

### 📝 Explained by the Community | Win 4 x DJI Mavic Drones

Over 2 years ago

Hello Everyone!

Me Shubhamai, Machine Learning Engineer, and I am excitedly working on this competition because especially it a kind of 3D problem rather than 2D. Previously I made the complete google colab notebook from data exploration to submission. You can find the notebook here.

But this time, I found that a great preprocessing pipeline can help to model to find accurate features and increasing overall accuracy. But it kinda isn’t that easy as it looks —

So I made a Web Application based on that which allows you to play/experiment with many of the image preprocessing functions/methods, changing parameters or writing custom image preprocessing functions to experiment.

And it also contains all the visualizations from the colab notebook.

I hope that it will help you in making the perfect preprocessing pipelines and make sure you like the post . Thanks

https://seismic-facies-identification.herokuapp.com/

### 📝 Explained by the Community | Win 4 x DJI Mavic Drones

Over 2 years ago

Sure! Thanks for the suggestion . I will make changes to the color map soon!

### 📝 Explained by the Community | Win 4 x DJI Mavic Drones

Over 2 years ago

Hi Everyone

I have made a complete colab notebook from Data Exploration to Submitting Predictions. Here are some of the glimpse of the image visualization section!

And this 3D Plot!

## Tables of Content -

1. Setting our Workspace

2. Data Exploration

3. Image Preprocessing Techniqes

4. Creating our Dataset

5. Creating our Model

6. Training the Model

7. Evaluating the model

8. Testing on test Data

9. Generate More Data + Some tips & tricks

## The main libraries covered in this notebook is —

• Tensorflow 2.0 & Keras
• Plotly
• cv2
and much more…

The model that i am using is UNet, pretty much standard in image segmentation. More is in the colab notebook!

I hope the colab notebook will help you get started in this competition or learning something new . If the notebook did help you, make sure to like the post. lol.

More things will be added soon!

By

### Explained by the Community | 100 CHF Prize contest 🎉

Over 2 years ago

Hi,

Me Shubhamai, i did the LNDST competition and here is the github repo https://github.com/Shubhamai/water-segmentation

Shubhamai has not provided any information yet.