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πŸ›  Contribute: Found a typo? Or any other change in the description that you would like to see? Please consider sending us a pull request in the public repo of the challenge here.

πŸ•΅οΈ Introduction

This problem uses the learnings from the first puzzle to seek out the side with highest points. Which side, white or black, has the most points? Each piece on the chessboard corresponds to a value. Identify all the chessboard pieces and consolidate their value to find out which side has the highest point.

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

πŸš€ Explainer Video

πŸ’Ύ Dataset

The given dataset contains images of chess board with pieces of both black and white. Each image is of size 254 * 254. A CSV is also provided containing the image id and the color which has highest number of points on the board.

The dataset is divided into train and validation set, each containing a zip file and csv corresponding to it. For evaluation you are provided with the test.zip which contain the images for which you need to find which color has least number of pieces.

The points corresponding to each piece is given below:

  • Pawn - 1 point
  • Knight - 3 points
  • Bishop - 3 points
  • Rook - 5 points
  • Queen - 9 points

Note: The board might also have a King, but his points is not taken into consideration.

πŸ“ Files

Following files are available in the resources section:

  • train.csv - (40000 samples) This csv file contains ImageID column which corresponds to train.zip and labels.
  • train.zip - (40000 samples) This zip file contains images corresponding to the first column of train.csv.
  • val.csv - (4000 samples) This csv file contains ImageID column which corresponds to val.zip and labels.
  • val.zip - (4000 samples) This zip file contains images corresponding to the first column of val.csv.
  • test.zip - (10000 samples) This zip file contains testing images that will be used for actual evaluation for the leaderboard score.

πŸš€ Submission

  • Prepare a CSV containing two columns, one is ImageID which corresponds to the images in test.zip and labels as predicted value denoting if the white or black had the higher amount of points.
  • Sample submission format available at sample_submission.csv in the resorces section.

Make your first submission here πŸš€ !!

πŸ–Š Evaluation Criteria

During evaluation F1 score is used as Primary Score and Accuracy Score as Secondary Score will be used to test the efficiency of the model.

πŸ“± Contact

Notebooks

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[Baseline] Chess Points
By
ashivani
14 days ago
1

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