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README.dataset.txt
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# Chess Pieces > raw
https://universe.roboflow.com/joseph-nelson/chess-pieces-new
Provided by [Roboflow](https://roboflow.ai)
License: Public Domain
# Overview
This is a dataset of Chess board photos and various pieces. All photos were captured from a constant angle, a tripod to the left of the board. The bounding boxes of all pieces are annotated as follows: `white-king`, `white-queen`, `white-bishop`, `white-knight`, `white-rook`, `white-pawn`, `black-king`, `black-queen`, `black-bishop`, `black-knight`, `black-rook`, `black-pawn`. There are 2894 labels across 292 images.
**Follow [this tutorial](https://blog.roboflow.ai/training-a-yolov3-object-detection-model-with-a-custom-dataset/) to see an example of training an object detection model using this dataset or jump straight to the [Colab notebook](https://colab.research.google.com/drive/1ByRi9d6_Yzu0nrEKArmLMLuMaZjYfygO#scrollTo=WgHANbxqWJPa).**
# Use Cases
At Roboflow, we built a chess piece object detection model using this dataset.
You can see a video demo of that [here](https://www.youtube.com/watch?v=XLispu-Yb_0). (We did struggle with pieces that were occluded, i.e. the state of the board at the very beginning of a game has many pieces obscured - let us know how your results fare!)
# Using this Dataset
We're releasing the data free on a public license.
# About Roboflow
[Roboflow](https://roboflow.ai) makes managing, preprocessing, augmenting, and versioning datasets for computer vision seamless.
Developers reduce 50% of their boilerplate code when using Roboflow's workflow, save training time, and increase model reproducibility.
#### [](https://roboflow.ai)