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.

ultralytics
87
Verified
yolov8-object-tracking
59
Established
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 23/25
Stars: 54,333
Forks: 10,447
Downloads:
Commits (30d): 151
Language: Python
License: AGPL-3.0
Stars: 362
Forks: 69
Downloads:
Commits (30d): 0
Language: Python
License: AGPL-3.0
No risk flags
No Package No Dependents

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.

object-detection video-surveillance quality-inspection asset-tracking image-analysis

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.

object-tracking computer-vision video-analytics real-time-monitoring surveillance

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