LibreYOLO/libreyolo

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

CVNets: A library for training computer vision networks

All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.

OpenMMLab Detection Toolbox and Benchmark

In this repo there are some tips and a template to train your YOLO model for any kind of computer vision application