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Somnusochi / VLM-AutoYOLO

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.

Why this job: matched by what the repo talks about: video, image, pipeline, end

What it does

  • 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)

Get started

git clone https://github.com/Somnusochi/VLM-AutoYOLO.git
cd VLM-AutoYOLO
python3 cli.py all
Maintenance
Active
Last commit 51 days ago
Stars
278
+3 this week
Licence
AGPL-3.0
Share-alike, even hosted
Downloads for
None listed
No release files
Latest version
v1.5.16
Released 2 months ago
Built with
Python
53% of the code

Is it looked after?

Contributors
Not stated
Last 90 days
Issues
71% closed
2 still open
Pull requests
2 merged
1 waiting
Releases
37
30+ in the last year
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 53%
  • TypeScript 45%
  • CSS 1%
  • Dockerfile <1%

Topics

  • auto-labeling
  • computer-vision
  • data-annotation
  • deep-learning
  • fastapi
  • locate-anything
  • machine-learning
  • nvidia
  • object-detection
  • pytorch
  • react
  • video-annotation

Project record

  • JobVideo
  • StatusListed
  • Commits353
  • Forks41
  • Watching0
  • Stars in 28 days+17
  • CreatedJun 2, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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