ultralytics and yolov8-object-tracking
The ultralytics YOLO library provides the core object detection model that yolov8-object-tracking extends with multi-object tracking functionality, making them complements designed to be used together in a detection-then-tracking pipeline.
About ultralytics
ultralytics/ultralytics
Ultralytics YOLO 🚀
This project helps anyone needing to automatically identify, classify, or track objects and actions within images or videos. You provide visual media, and it outputs labeled bounding boxes, segmentation masks, or keypoints for recognized items. This is ideal for roles like security analysts, manufacturing quality control, agricultural inspectors, or retail inventory managers.
About yolov8-object-tracking
RizwanMunawar/yolov8-object-tracking
YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics
This tool helps computer vision developers and researchers add object tracking capabilities to their projects. It takes video files, image files, or live camera feeds as input and outputs the same media with detected objects uniquely identified and tracked across frames. Anyone building applications that need to monitor and count moving objects will find this useful.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work