1
Install YOLOv5
Run `pip install -U ultralytics` ensuring Python >=3.8 and PyTorch >=1.7 are installed.
2
Clone Repository
Clone the GitHub repo with `git clone https://github.com/ultralytics/yolov5` and install dependencies using `pip install -r requirements.txt`.
3
Run Inference
Load a pretrained model via PyTorch Hub using `model = torch.hub.load('ultralytics/yolov5', 'yolov5s')`.
4
Detect Objects
Perform detection on images or videos with `results = model('image.jpg')`.
5
Train Custom Models
Train models using the CLI command `yolov5 train --data data.yaml --weights yolov5s.pt`.