Update README.md

README.md

@@ -37,6 +37,26 @@ For every object in an image, a **bounding box** is provided, represented in the
 
 This dataset is suitable for tasks such as **object detection**, and can be used to detect players in football game images or videos.
 
+Detecting players can be challenging, as they are often close together, can partially occlude each other, and can be confused with referees.
+
+
+## Usage
+
+Download dataset in your current working directory ``cwd``:
+```
+hf download martinjolif/football-player-detection --repo-type dataset --local-dir cwd
+```
+
+Finetune on this dataset:
+```
+yolo detect train data=data/data.yaml model=yolo11n.pt epochs=1 batch=32 imgsz=640 device=mps
+```
+
+Validate custom-trained model:
+```
+yolo detect val model=path/to/best.pt
+```
+
 ## References
 
 The dataset comes from [Roboflow Universe](https://universe.roboflow.com/football-project-pifbc/football-players-detection-3zvbc-yyhdl), where you can also visualize the bounding boxes drawn around each object in the images.