DAMO-YOLO

Why we included this project

DAMO-YOLO comes from Alibaba's DAMO lab as a YOLO-family detector aimed at real-time object detection in images and video. It pairs neural architecture search backbones with a lightweight feature network and head, which is how it keeps accuracy up without pushing latency out of reach. The repo ships several model sizes plus a Nano series that runs in real time on modest Intel CPUs, so you can pick the speed and precision trade-off that matches your hardware. It also covers the full path from training on a custom dataset to deploying via ONNX or TensorRT, with pretrained weights, a finetuning tutorial, and a quantization guide to get you started. If you are comparing detection frameworks for production, this is a practical one to test against your own data.