π 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.
π΅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.π
π Explainer Video
πΎ 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.
π Files
Following files are available in the resources
section:
train.csv
- (40000
samples) This csv file contains ImageID column which corresponds totrain.zip
and labels.train.zip
- (40000
samples) This zip file contains images corresponding to the first column oftrain.csv
.val.csv
- (4000
samples) This csv file contains ImageID column which corresponds toval.zip
and labels.val.zip
- (4000
samples) This zip file contains images corresponding to the first column ofval.csv
.test.zip
- (10000
samples) This zip file contains testing images that will be used for actual evaluation for the leaderboard score.
π Submission
- Prepare a CSV containing two columns, one is
ImageID
which corresponds to the images intest.zip
and labels as predicted value denoting if thewhite
orblack
had the higher amount of points. - Sample submission format available at sample_submission.csv in the resorces section.
Make your first submission here π !!
π 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.
π Links
- πͺ Challenge Page: https://www.aicrowd.com/challenges/chess-points
- π£οΈ Discussion Forum: https://www.aicrowd.com/challenges/chess-points/discussion
- π Leaderboard: https://www.aicrowd.com/challenges/chess-points/leaderboards
π± Contact
Notebooks
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