Interactive Notebooks¶

Hands-on Jupyter notebooks demonstrating SAHI with different detection frameworks. Each notebook can be run directly in Google Colab or cloned from the demo directory on GitHub.

Inference Notebooks¶

Notebook	Framework	Models	Links
Ultralytics	ultralytics	YOLOv8, YOLO11, YOLO26
YOLOE	ultralytics	YOLOE variants
YOLOv5	yolov5	YOLOv5 variants
HuggingFace	huggingface	DETR, Deformable DETR, DETA
RT-DETR	rtdetr	RT-DETR variants
MMDetection	mmdet	300+ detection models
Detectron2	detectron2	Detectron2 models
TorchVision	torchvision	Faster R-CNN, RetinaNet, FCOS, SSD
Roboflow	roboflow	RF-DETR

Utility Notebooks¶

Notebook	Description	Links
Slicing	Image and COCO dataset slicing operations

Running Locally¶

Clone the repository and run notebooks with Jupyter:

git clone https://github.com/obss/sahi.git
cd sahi
pip install -e ".[dev]"
jupyter notebook demo/