README.md

annotations_creators:

• machine-generated language_creators:
• machine-generated languages:
• en licenses:
• cc-by-sa-2.0 multilinguality:
• monolingual paperswithcode_id: [] pretty_name: Object Detection for Chess Pieces size_categories:
• n<1K source_datasets: [] task_categories:
• object-detection task_ids: []

Dataset Card for Object Detection for Chess Pieces

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information

Dataset Description

• Homepage: https://github.com/faizankshaikh/chessDetection
• Repository: https://github.com/faizankshaikh/chessDetection
• Paper: [Needs More Information]
• Leaderboard: [Needs More Information]
• Point of Contact: Faizan Shaikh

Dataset Summary

The "Object Detection for Chess Pieces" dataset is a toy dataset created (as suggested by the name!) to introduce object detection in a beginner friendly way. It is structured in a one object-one image manner, with the objects being of four classes, namely, Black King, White King, Black Queen and White Queen

Supported Tasks and Leaderboards

• object-detection: The dataset can be used to train and evaluate simplistic object detection models

Languages

The text (labels) in the dataset is in English

Dataset Structure

Data Instances

[Needs More Information]

Data Fields

[Needs More Information]

Data Splits

Train Valid 204 52

Dataset Creation

Curation Rationale

The dataset was created to be a simple benchmark for object detection

Source Data

Initial Data Collection and Normalization

The data is obtained by machine generating images from "python-chess" library. Please refer this code to understand data generation pipeline

Who are the source language producers?

[Needs More Information]

Annotations

Annotation process

[Needs More Information]

Who are the annotators?

[Needs More Information]

Personal and Sensitive Information

[Needs More Information]

Considerations for Using the Data

Social Impact of Dataset

The dataset can be considered as a beginner-friendly toy dataset for object detection. It should not be used for benchmarking state of the art object detection models, or be used for a deployed model.

Discussion of Biases

[Needs More Information]

Other Known Limitations

The dataset only contains four classes for simplicity. The complexity can be increased by considering all types of chess pieces, and by making it a multi-object detection problem

Additional Information

Dataset Curators

The dataset was created by Faizan Shaikh

Licensing Information

The dataset is licensed as CC-BY-SA:2.0

Citation Information

[Needs More Information]