ultralytics / ultralytics
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
ultralytics / ultralytics
ultralytics / yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
ultralytics / yolov3
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
SwanHubX / SwanLab
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
pur1fying / blue_archive_auto_script
支持按轴凹总力战, 无缝制造三解, 用于实现蔚蓝档案自动化的程序( Steam已适配 )
ultralytics / JSON2YOLO
Legacy JSON-to-YOLO dataset converter for COCO, LabelMe, Labelbox, VoTT, INFOLKS, and ATH annotations. Superseded by convert_coco() in the Ultralytics package.
LibreYOLO / libreyolo
LibreYOLO is a MIT licensed open source computer vision library
Nambekai / dangerous-person-detection-yolo11
YOLO11 research prototype for detecting people associated with potentially dangerous objects in public-area imagery, with thesis evidence, reproducibility notes, and responsible-use guidance.