Update README.md

README.md

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-<div align="center">
-   <p><em>Easily load and transform datasets for object detection.</em></p>
-</div>
-<br></p>
-<hr>
-<p><strong>Documentation</strong>: <a href="https://blinjrm.github.io/detection-datasets/">https://blinjrm.github.io/detection-datasets/</a></p>
-<p><strong>Source Code</strong>: <a href="https://github.com/blinjrm/detection-datasets">https://github.com/blinjrm/detection-datasets</a></p>
-<p><strong>Datasets on Hugging Face Hub</strong>: <a href="https://huggingface.co/detection-datasets">https://huggingface.co/detection-datasets</a></p>
-<hr>
-<p><br></p>
-<p><code>detection_datasets</code> aims to make it easier to work with detection datasets.  </p>
-<p>This library works alongside the <a href="https://huggingface.co/detection-datasets">Detection dataset</a> organisation on the 🤗 Hub, where some detection datasets have been uploaded in the format expected by the library, and are ready to use.  </p>
-<p>The main features are:</p>
-<ul>
-   <li>
-      <strong>Read</strong> the dataset :
-      <ul>
-         <li>From disk if it has already been downloaded.</li>
-         <li>Directly from the Hugging Face Hub if it <a href="https://huggingface.co/detection-datasets">already exist</a>.</li>
-      </ul>
-   </li>
-   <li>
-      <strong>Transform</strong> the dataset:
-      <ul>
-         <li>Select a subset of data.</li>
-         <li>Remap categories.</li>
-         <li>Create new train-val-test splits.</li>
-      </ul>
-   </li>
-   <li><strong>Visualize</strong> the annotations and images.</li>
-   <li>
-      <strong>Write</strong> the dataset:
-      <ul>
-         <li>To disk, selecting the target detection format: <code>COCO</code>, <code>YOLO</code> and more to come.</li>
-         <li>To the Hugging Face Hub for easy reuse in a different environment and share with the community.</li>
-      </ul>
-   </li>
-</ul>
-<p><br></p>
-<div align="center">
-<hr>
-<p><em>Read the <a href="https://github.com/blinjrm/detection-datasets/blob/main/README.md#getting-started">quick start</a>, or directly jump to the tutorials:</em></p>
-<table>
-   <thead>
-      <tr>
-         <th>Goal</th>
-         <th style="text-align:center">Tutorial</th>
-         <th style="text-align:center">Colab</th>
-      </tr>
-   </thead>
-   <tbody>
-      <tr>
-         <td>Load from disk and upload to the Hub</td>
-         <td style="text-align:center"><a href="https://blinjrm.github.io/detection-datasets/tutorials/1_Read/">Open in the docs</a></td>
-         <td style="text-align:center"><a href="https://colab.research.google.com/github/blinjrm/detection-datasets/blob/main/docs/tutorials/1_Read.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td>
-      </tr>
-      <tr>
-         <td>Load from the Hub and transform</td>
-         <td style="text-align:center"><a href="https://blinjrm.github.io/detection-datasets/tutorials/2_Transform/">Open in the docs</a></td>
-         <td style="text-align:center"><a href="https://colab.research.google.com/github/blinjrm/detection-datasets/blob/main/docs/tutorials/2_Transform.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"></a></td>
-      </tr>
-   </tbody>
-</table>
-<hr>
+Easily load, transform and export detection dataset to work with many object detection frameworks or models.
+
+Check the [source code](https://github.com/blinjrm/detection-datasets) and [documentation](https://blinjrm.github.io/detection-datasets/).