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- <img src="https://raw.githubusercontent.com/blinjrm/detection-datasets/main/images/dd_logo.png" alt="logo" width="100"/>
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- <br>
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  # Detection datasets
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- <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>
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- <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>
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- <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>
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- <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>
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- <a href="https://pypi.org/project/detection-datasets/"><img src="https://img.shields.io/pypi/status/detection-datasets?style=flat-square"/></a>
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  *Easily load and transform datasets for object detection.*
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  ---
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- **Documentation**: https://blinjrm.github.io/detection-datasets/
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- **Source Code**: https://github.com/blinjrm/detection-datasets
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- **Datasets on Hugging Face Hub**: https://huggingface.co/detection-datasets
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  ---
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  `detection_datasets` aims to make it easier to work with detection datasets.
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- 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.
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  The main features are:
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  * **Read** the dataset :
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  * To disk, selecting the target detection format: `COCO`, `YOLO` and more to come.
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  * To the Hugging Face Hub for easy reuse in a different environment and share with the community.
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- *Read the quick start bellow, or directly jump to the tutorials:*
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- | Goal | Tutorial | Colab |
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- | 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) |
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- | 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) |
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- </div>
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- More datasets to come! 🔥
 
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  # Detection datasets
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  *Easily load and transform datasets for object detection.*
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+ **Documentation**: https://blinjrm.github.io/detection-datasets/
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+ **Source Code**: https://github.com/blinjrm/detection-datasets
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+ **Datasets on Hugging Face Hub**: https://huggingface.co/detection-datasets
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  `detection_datasets` aims to make it easier to work with detection datasets.
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+ It is both an organisation sharing detection datasets on the 🤗 Hub, and a Python library to load, transform and export detection datasets to multiple formats corresponding to object detection frameworks / models.
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  The main features are:
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  * **Read** the dataset :
 
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  * To disk, selecting the target detection format: `COCO`, `YOLO` and more to come.
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  * To the Hugging Face Hub for easy reuse in a different environment and share with the community.
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+ **More datasets to come! 🔥**