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README.md

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 *Easily load and transform datasets for object detection.*
 
+`detection_datasets` aims to make it easier to work with detection datasets.  
+
+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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 **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  
-
 ---
-
-`detection_datasets` aims to make it easier to work with detection datasets.  
-
-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. 
-
-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.
-
+  
 **More datasets to come! 🔥**