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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Object detection and tracking algorithm implemented for Real-Time video streams and static images.
| Date | Stars |
|---|---|
| 2026-07-24 | 423 |
| 2026-07-25 | 423 |
| 2026-07-28 | 423 |
| 2026-07-30 | 423 |
| 2026-08-06 | 424 |
Today
+1 stars today
This week
+1 stars this week
This month
— stars this month
Momentum
5.0
growth rate 0.24%/day
<div align="center"> # 🔬 YOLO Vision Studio **Real-time Object Detection · Segmentation · Pose Estimation · Tracking** **Powered by YOLO26, YOLO World v2 & Streamlit** [](https://github.com/CodingMantras/yolov8-streamlit-detection-tracking/stargazers) [](https://python.org) [](https://streamlit.io) [](https://ultralytics.com) [](LICENSE) [Live Demo](https://yolov8-object-detection-and-tracking-app.streamlit.app/) · [Blog Series](https://rs-punia.medium.com/building-a-real-time-object-detection-and-tracking-app-with-yolov8-and-streamlit-part-1-30c56f5eb956) · [Report Bug](https://github.com/CodingMantras/yolov8-streamlit-detection-tracking/issues) </div> --- ## 🆕 What's New in v2.0 > **Thank you for 400+ ⭐ stars!** This major update brings a completely rewritten, modular codebase with exciting new capabilities. | Feature | v1.0 | v2.0 | |---------|------|------| | Object Detection | YOLOv8n | YOLO26n (NMS-free, 43% faster CPU) | | Segmentation | YOLOv8n-seg | YOLO26n-seg (multi-scale proto + semantic loss) | | Pose Estimation | ❌ | ✅ YOLO26n-pose (RLE-based keypoints) | | Open-Vocabulary | ❌ | ✅ YOLO World v2 (natural language text prompts) | | Tracking | Basic | ByteTrack + BoTSORT with local + global counting | | Object Counting | ❌ | ✅ Per-frame local + cumulative global counts | | Skip Frames | ❌ | ✅ 1–8× skip for fast inference on long videos | | Webcam | OpenCV (broken in cloud) | ✅ streamlit-webrtc (browser-native) | | Architecture | Monolithic | Modular service-based design | | Video Metrics | ❌ | ✅ Live FPS, local/global counts & tracking overlay | | Codebase | `helper.py + settings.py` | `config · model_loader · image_service · video_service` | --- ## ✨ Features ### 📷 Image Inference - **Object Detection** — Detect 80+ COCO classes with YOLO26 (NMS-free, edge-optimized) - **YOLO World v2 (Text Prompt)** — Natural language prompts like *"person in black"*, *"red car"*, *"laptop on table"* for open-vocabulary detection - **Instance Segmentation** — Pixel-level object segmentation with multi-scale proto modules - **Pose Estimation** — Human body keypoint and skeleton detection with RLE precision - Per-class metrics, confidence scores and detailed results table ### 🎬 Video Inference - **Multiple Sources**: Stored videos, Webcam (browser-native via WebRTC), RTSP streams, YouTube URLs - **Real-time Tracking**: ByteTrack and BoTSORT algorithms (enabled by default) - **Local + Global Counting**: Per-frame counts (green) and cumulative unique-object counts (yellow) displayed on every frame - **Skip Frames**: Adjustable 1–8× slider for faster inference on long or high-FPS videos - **YOLO World v2 in Video**: Natural language text-prompt search in video streams - **Live Metrics**: Separate local (this frame) and global (cumulative) sections in sidebar - **Count Overlay**: Two-line on-frame badge — local in green, global in yellow ### 🏗️ Architecture - **Modular Design**: Separate services for image and video inference - **Centralized Config**: Single `config.py` for all settings - **Cached Models**: `@st.cache_resource` for instant model reuse - **Clean Routing**: Task + Mode based dispatch in `app.py` --- ## 📸 Demo ### Tracking with Object Detection <https://user-images.githubusercontent.com/104087274/234874398-75248e8c-6965-4c91-9176-622509f0ad86.mov> ### Application Overview <https://github.com/user-attachments/assets/85df351a-371c-47e0-91a0-a816cf468d19.mov> ###
Excerpt of 11,822 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:06c2e4e87f1323b8, topic:object-detection, topic:yolo, desc:object detection