adding README.md

README.md

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+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-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation 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](mailto:faizankshaikh@gmail.com)
+
+### 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](https://github.com/faizankshaikh/chessDetection/blob/main/code/1.1%20create_images_with_labels.ipynb) 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]