aparsoft/yolo-streamlit-detection-tracking
A real-time computer vision application using YOLO26, YOLO World v2, and Streamlit for object detection, tracking, segmentation, and pose estimation.
Not currently ranked — collecting fresh signals.
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This project provides a Streamlit-based interface for running YOLO vision models on video streams and static images. It supports object detection with YOLO26n, instance segmentation, pose estimation with RLE-based keypoints, and open-vocabulary detection via YOLO World v2. Multiple tracking algorithms (ByteTrack, BoSORT) enable multi-object tracking with per-frame and cumulative counting across video streams.
Frequently asked
- What is aparsoft/yolo-streamlit-detection-tracking?
- A real-time computer vision application using YOLO26, YOLO World v2, and Streamlit for object detection, tracking, segmentation, and pose estimation.
- Is yolo-streamlit-detection-tracking open source?
- Yes — aparsoft/yolo-streamlit-detection-tracking is open source, released under the Apache-2.0 license.
- What language is yolo-streamlit-detection-tracking written in?
- aparsoft/yolo-streamlit-detection-tracking is primarily written in Python.
- How popular is yolo-streamlit-detection-tracking?
- aparsoft/yolo-streamlit-detection-tracking has 421 stars on GitHub.
- Where can I find yolo-streamlit-detection-tracking?
- aparsoft/yolo-streamlit-detection-tracking is on GitHub at https://github.com/aparsoft/yolo-streamlit-detection-tracking.