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 YO
- Stars
- 268
- Forks
- 37
- Open issues
- 2
- Last push
- 1mo ago
About VLM-AutoYOLO
VLM-AutoYOLO is a free, open-source computer vision tool by Somnusochi, written mainly in Python. 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 YO. It has 268 GitHub stars and 37 forks, and was last updated 1mo ago. It's released under the AGPL-3.0 license, a standard open-source license. According to the project, it works on macOS.
- License
- AGPL-3.0
- Commercial use
- Copyleft
- Language
- Python
- Stars
- 268
- Last update
- 1mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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VLM-AutoYOLO FAQ
Can I use VLM-AutoYOLO commercially?
With conditions. AGPL-3.0 allows commercial use, but if you modify it or build on it, even as a web service, your code must also be released under AGPL. This is a plain-English summary, not legal advice.
Is VLM-AutoYOLO free?
Yes. VLM-AutoYOLO is open source and free to use. It's released under the AGPL-3.0 license, a standard open-source license.
Does VLM-AutoYOLO run on a Mac?
Yes. According to the project, VLM-AutoYOLO works on macOS.
Does VLM-AutoYOLO need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is VLM-AutoYOLO still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to VLM-AutoYOLO?
Similar free, open-source tools include ultralytics, yolov5, cvat, supervision.