Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 β object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.
Globally accessible autonomous robot featuring AI object tracking, 4G remote control, edge computing, WebRTC streaming, and environmental sensing.
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
The collection of pre-trained, state-of-the-art AI models for ailia SDK
Ultralytics YOLOv8, YOLOv9, YOLOv10, YOLOv11, YOLOv12 for ROS 2
A continuously updated project to track the latest progress in the field of multi-modal object tracking. This project focuses solely on single-object tracking.
[CVPR 2025, IJCV 2026] "A Distractor-Aware Memory for Visual Object Tracking with SAM2", "Distractor-Aware Memory-Based Visual Object Tracking"
BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
Computer Vision pipeline that tracks vehicles and people in traffic footage and reports counts + congestion level.
AI-powered real-time object detection, tracking, and video intelligence platform using YOLO and computer vision.
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
Eyes are All JEV Needs - real time visual devisions from RGB, video and RGB-D cameras.