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.
Why this job: topics: computer-vision, object-detection, instance-segmentation, pose-estimation, machine-learning
What it does
A free, open-source Streamlit app built on Ultralytics YOLO26, YOLOE, YOLO World v2 and RT-DETR.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 30 days ago
- Stars
- 431
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.1.0
- Released 36 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 56% closed
- 7 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- 2
- 2 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
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| ultralytics / yolo26 | 170 | 57 days ago | AGPL-3.0 | No downloads |
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| IntptrMax / YoloSharp | 266 | 30 days ago | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 100%
Topics
- machine-learning
- object-detection
- streamlit
- streamlit-application
- yolo
- object-tracker
- tracking-algorithm
- tracking-by-detection
- bytetrack
- computer-vision
- instance-segmentation
- people-counting
Project record
- JobAI libraries and models
- StatusListed
- Commits237
- Forks171
- Watching4
- Stars in 28 days+2
- CreatedMar 18, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026