Roboflow | Count People in Zone | Using YOLOv5, YOLOv8, and Detectron2 | Computer Vision @Roboflow | Uploaded 1 year ago | Updated 11 minutes ago
Unlock the power of object detection with this comprehensive tutorial on detecting and counting objects in a polygon zone. Discover three real-world examples, including detecting customers in a shopping mall alley, people at the edge of a subway station, and counting people in a market square. Learn how to use YOLOv8, Detectron2, and YOLOv5 to achieve your object detection goals. With the help of the powerful Supervision library, building advanced analytics has never been easier. This tutorial is perfect for beginners, taking you step by step through each process. Plus, we've included a Jupyter Notebook for you to follow along, making the learning process effortless. Boost your computer vision skills with this educational and engaging video!
Chapters:
0:00 Introduction
1:22 Setting up the Python environment
4:53 Simple YOLOv8 Shopping Mall Example
13:22 Simple Detectron2 Subway Example
17:46 Advanced YOLOv5 Market Square Example
20:56 Conclusion
Resources:
🌏 Roboflow: roboflow.com
🌌 Roboflow Universe: universe.roboflow.com
🤩 Supervision documentation: roboflow.github.io/supervision
⭐ Supervision repository: github.com/roboflow/supervision
📓 Detect and Count Objects in Polygon Zone with YOLOv5 / YOLOv8 / Detectron2 + Supervision Notebook: colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-detect-and-count-objects-in-polygon-zone.ipynb
Stay updated with the projects I'm working on at github.com/roboflow and github.com/SkalskiP! ⭐
Unlock the power of object detection with this comprehensive tutorial on detecting and counting objects in a polygon zone. Discover three real-world examples, including detecting customers in a shopping mall alley, people at the edge of a subway station, and counting people in a market square. Learn how to use YOLOv8, Detectron2, and YOLOv5 to achieve your object detection goals. With the help of the powerful Supervision library, building advanced analytics has never been easier. This tutorial is perfect for beginners, taking you step by step through each process. Plus, we've included a Jupyter Notebook for you to follow along, making the learning process effortless. Boost your computer vision skills with this educational and engaging video!
Chapters:
0:00 Introduction
1:22 Setting up the Python environment
4:53 Simple YOLOv8 Shopping Mall Example
13:22 Simple Detectron2 Subway Example
17:46 Advanced YOLOv5 Market Square Example
20:56 Conclusion
Resources:
🌏 Roboflow: roboflow.com
🌌 Roboflow Universe: universe.roboflow.com
🤩 Supervision documentation: roboflow.github.io/supervision
⭐ Supervision repository: github.com/roboflow/supervision
📓 Detect and Count Objects in Polygon Zone with YOLOv5 / YOLOv8 / Detectron2 + Supervision Notebook: colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-detect-and-count-objects-in-polygon-zone.ipynb
Stay updated with the projects I'm working on at github.com/roboflow and github.com/SkalskiP! ⭐
