VLM-AutoYOLO
VLM-AutoYOLO is an open-source video ai project written in Python with 214 stars on GitHub.
The authors describe it as: “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.”
Whatever you record, edit or capture with VLM-AutoYOLO, Whipscribe transcribes the audio track into an accurate, speaker-labeled transcript with SRT/VTT captions — 100+ languages, secured private cloud. About $2 per audio hour, with a free instant preview.
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Frequently asked
What is VLM-AutoYOLO?
VLM-AutoYOLO is an open-source video ai project written in Python with 214 stars on GitHub. The authors describe it as: “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.”
Is VLM-AutoYOLO free?
VLM-AutoYOLO is open source — free to use; check its license for redistribution terms.
What are the best VLM-AutoYOLO alternatives?
The closest alternatives in the same category include opencv, cs-video-courses, d2l-zh, AI-For-Beginners, ultralytics — each has a live profile with facts and its own alternatives list on this hub.