Track & Count Objects using YOLOv8 ByteTrack & Supervision

Video Description

Let's build together an application to track and count objects using Computer Vision. We used YOLOv8 for detection, ByteTrack for tracking, and the latest python library from Roboflow - Supervision for object counting. Chapters: 0:00 Introduction 1:28 Setting up the Python environment for vehicle tracking 5:28 Using YOLOv8 for vehicle detection 6:27 Building custom inference pipeline with Supervision for a single image 12:37 Building custom inference pipeline with Supervision for a whole video 15:46 Tracking detections with ByteTrack 17:40 Counting objects crossing the line with Supervision 19:29 Training YOLOv8 Object Detection model on custom dataset 22:50 Detect, track, and count candies on the conveyor 25:50 Conclusion Resources: 🌏 Roboflow: https://roboflow.com 🌌 Roboflow Universe: https://universe.roboflow.com ⭐ Supervision repository: https://github.com/roboflow/supervision 📝 Track and Count with YOLOv8 Blogpost: https://blog.roboflow.com/yolov8-tracking-and-counting 📓 Track and Count Vehicles with YOLOv8 + ByteTRACK + Supervision Notebook: https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/how-to-track-and-count-vehicles-with-yolov8.ipynb 📓How to Train YOLOv8 Object Detection on a Custom Dataset Notebook: https://colab.research.google.com/github/roboflow-ai/notebooks/blob/main/notebooks/train-yolov8-object-detection-on-custom-dataset.ipynb 🎬 Count People in Zone | 3 Models: YOLOv5, YOLOv8 and Detectron2: https://youtu.be/l_kf9CfZ_8M 🎬 YOLOv8 Object Counting in Real-time with Webcam, OpenCV and Supervision: https://youtu.be/QV85eYOb7gk 🎬 YOLOv8: How to Train for Object Detection on a Custom Dataset: https://youtu.be/wuZtUMEiKWY 🎬 Instance Segmentation in 12 minutes with YOLOv8 and Python: https://youtu.be/pFiGSrRtaU4 📓 Learn more about YOLOv8 and other Computer Vision models with Roboflow Notebooks: https://github.com/roboflow/notebooks Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐