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Let’s keep the first puzzle simple, shall we? Given a set of images, can you identify which side (white or black) has the least number of chess pieces on the board?
Understand with code! Here is
getting started code for you.
🚀 Explainer Video
The given dataset contains images of chess board with pieces of both black and white. Each image is of size 254 * 254 pixels. A CSV is also provided containing the image id and the color which has least number of peices 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.
Following files are available in the
40000samples) This csv file contains ImageID column which corresponds to
40000samples) This zip file contains images corresponding to the first column of
4000samples) This csv file contains ImageID column which corresponds to
4000samples) This zip file contains images corresponding to the first column of
10000samples) This zip file contains testing images that will be used for actual evaluation for the leaderboard score.
- Prepare a CSV containing two columns, one is
ImageIDwhich corresponds to the images in
test.zipand labels as predicted value denoting if the
blackhas the least amount of pieces.
- Sample submission format available at sample_submission.csv in the resorces section.
Make your first submission here 🚀 !!
🖊 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.
- 💪 Challenge Page: https://www.aicrowd.com/challenges/chess-pieces
- 🗣️ Discussion Forum: https://www.aicrowd.com/challenges/chess-pieces/discussion
- 🏆 Leaderboard: https://www.aicrowd.com/challenges/chess-pieces/leaderboards