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---
title: README
emoji: ⚡
colorFrom: yellow
colorTo: green
sdk: static
pinned: false
---

<div align="center">

<img src="https://raw.githubusercontent.com/blinjrm/detection-datasets/main/images/dd_logo.png" alt="logo" width="100"/>

<br>

# Detection datasets

<a href="https://www.python.org/"><img alt="Python" src="https://img.shields.io/badge/-Python 3.7-blue?style=flat-square&logo=python&logoColor=white"></a>
<a href="https://black.readthedocs.io/en/stable/"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-black.svg?style=flat-square&labelColor=gray"></a>
<a href="https://github.com/blinjrm/detection-datasets/actions/workflows/ci.yaml"><img src="https://img.shields.io/github/workflow/status/blinjrm/detection-datasets/CI?label=CI&style=flat-square"/></a>
<a href="https://github.com/blinjrm/detection-datasets/actions/workflows/pypi.yaml"><img src="https://img.shields.io/github/workflow/status/blinjrm/detection-datasets/Python%20package?label=Build&style=flat-square"/></a>
<a href="https://pypi.org/project/detection-datasets/"><img src="https://img.shields.io/pypi/status/detection-datasets?style=flat-square"/></a>

<br>

*Easily load and transform datasets for object detection.*

</div>
<br>

---

**Documentation**: https://blinjrm.github.io/detection-datasets/

**Source Code**: https://github.com/blinjrm/detection-datasets

**Datasets on Hugging Face Hub**: https://huggingface.co/detection-datasets

---

<br>

`detection_datasets` aims to make it easier to work with detection datasets.  

This library works alongside the [Detection dataset](https://huggingface.co/detection-datasets) organisation on the Hugging Face Hub, where some detection datasets have been uploaded in the format expected by the library, and are ready to use.  

The main features are:
* **Read** the dataset :
    * From disk if it has already been downloaded.
    * Directly from the Hugging Face Hub if it [already exist](https://huggingface.co/detection-datasets).
* **Transform** the dataset:
    * Select a subset of data.
    * Remap categories.
    * Create new train-val-test splits.
* **Visualize** the annotations and images.
* **Write** the dataset:
    * To disk, selecting the target detection format: `COCO`, `YOLO` and more to come.
    * To the Hugging Face Hub for easy reuse in a different environment and share with the community.

<br>

<div align="center">

---

*Read the quick start bellow, or directly jump to the tutorials:*

| Goal                                 | Tutorial | Colab |
|--------------------------------------|:--------:|:-----:|
| Load from disk and upload to the Hub | [Open in the docs](https://blinjrm.github.io/detection-datasets/tutorials/1_Read/)     | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/blinjrm/detection-datasets/blob/main/docs/tutorials/1_Read.ipynb)      |
| Load from the Hub and transform          | [Open in the docs](https://blinjrm.github.io/detection-datasets/tutorials/2_Transform/)     | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/blinjrm/detection-datasets/blob/main/docs/tutorials/2_Transform.ipynb)      |

---

</div>

More datasets to come! 🔥