aparsoft/yolo-streamlit-detection-tracking
YOLO Vision Studio: a free, open-source Streamlit app for detection, segmentation, pose, text prompts (YOLO World, YOLOE) and tracking with honest counts. Built on Ultralytics YOLO26.
- Stars
- 430
- Forks
- 170
- Open issues
- 7
- Last push
- 9d ago
About yolo-streamlit-detection-tracking
yolo-streamlit-detection-tracking is a free, open-source computer vision tool by aparsoft, written mainly in Python. YOLO Vision Studio: a free, open-source Streamlit app for detection, segmentation, pose, text prompts (YOLO World, YOLOE) and tracking with honest counts. Built on Ultralytics YOLO26. It has 430 GitHub stars and 170 forks, and was last updated 9d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 430
- Last update
- 9d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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yolo-streamlit-detection-tracking FAQ
Is yolo-streamlit-detection-tracking free?
Yes. yolo-streamlit-detection-tracking is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does yolo-streamlit-detection-tracking run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does yolo-streamlit-detection-tracking need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is yolo-streamlit-detection-tracking still maintained?
Yes. It was last updated 9d ago and has 7 open issues on GitHub.
What are alternatives to yolo-streamlit-detection-tracking?
Similar free, open-source tools include ultralytics, yolov5, supervision, deep-learning-drizzle.