{"repo":"Somnusochi/VLM-AutoYOLO","free":true,"listed":false,"github":"https://github.com/Somnusochi/VLM-AutoYOLO","clone":"git clone https://github.com/Somnusochi/VLM-AutoYOLO.git","description":"AI Auto Annotation & YOLO Training Pipeline, End-to-end object detection auto-labeling and YOLO training platform. VLM-powered annotation with NVIDIA LocateAnything-3B, manual refinement, one-click YOLO training, video keyframe extraction, and model validation. Supports image and video.","language":"Python","stars":211,"topics":["auto-labeling","computer-vision","data-annotation","deep-learning","fastapi","locate-anything","machine-learning","nvidia","object-detection","pytorch"],"license":"AGPL-3.0","category":"machine-learning","readme_excerpt":"VLM-AutoYOLO 简体中文 English Images or videos in → YOLO model out , with VLM auto-labeling (LocateAnything-3B), SAM2.1 / SAM3 mask refinement, and human-in-the-loop correction. Multi-format export, one-click YOLO training (detect & segment), video keyframe extraction, and model validation — all GPU-accelerated on macOS MPS and Windows/Linux CUDA. See Architecture & Workflow Documentation for detailed Mermaid diagrams. Key Features - 🤖 VLM auto-labeling : Open-vocabulary object detection with LocateAnything-3B - 🎯 SAM2 / SAM3 segmentation : Bbox → pixel-precise mask with SAM 2.1 or SAM3 text-driven detection+segmentation in one pass, BBox/Mask toggle on canvas - 🎥 Video annotation : Intelligent keyframe extraction (scene / motion / interval), SSIM dedup - ✏️ Manual refinement : Canvas draw mode, NMS filtering, hide/show individual boxes - 📦 Multi-format export/import : YOLO, YOLO-Seg, COCO JSON, Pascal VOC XML, CreateML JSON — export all saved detections or selected records as ZIP, import datasets via chunked upload (max 10GB, resume support) - 🚀 Training queue : Sequential job processing with cancel support, one-click training (YOLOv8 / v11 / v26) with real-time SSE progress - ✅ Model validation : Batch image / video testing, MJPEG live stream, SSE video inference - 💾 Smart model management : Lazy loading, idle auto-unload, MPS/CUDA strategy pattern cleanup - 🌐 i18n : English / 简体中文 / 日本語 · 🎨 Theme : Light / dark mode Documentation 📚 User Guide (English) 📚 用户指南 (中文) Co","default_branch":null,"files":null,"tree":[],"storefront":"/r/Somnusochi","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Somnusochi/VLM-AutoYOLO/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}