A shared library of on-demand DeepStream Pipeline Services for Python and C/C++

Production-ready YOLO8 Segmentation deployment with TensorRT and ONNX support for CPU/GPU, including AI model integration guidance for Unitlab Annotate.

Tracking, counting and speed estimation using yolo8

YOLOx8 model segmentation for face features

An Android app (Java) that runs the YOLO11s model using TensorFlow Lite (TFLite) for object detection. It captures a frame from the live camera feed upon clicking Detect, identifies objects, and displays bounding boxes with class names and confidence scores.

Demo of stable diffusion 2.0 applied to Yolo8 detected / segmented objects

Compare YOLOv5, YOLOv8, YOLO11, and YOLO26 performance on your hardware

recognition of Hay objects on video

Testing pose estimation models - yolo and mmpose

Segment weapons and non-weapons in an image using YOLO v8

Python, Yolo8, OpenCV, numpy

Vehicle detection and counting using YOLOv8, Deep Learning, and NumPy. Detects multiple vehicle types, tracks them across video frames, and provides accurate counts with visual annotations. Perfect for traffic monitoring and smart city applications.

This is repository for counting vehicle from real time road video. It uses YOLOv8 for tracking.

Use the ArUco marker to calculate the relative coordinates and move Turtlebot3 to the corresponding location. Recognize a small box as an object with yolo8, pick it up with the manipulator, and place it on the conveyor belt. Pick up the box again at the end of the conveyor belt and move it to the unloading area.

App for cars classification

A YOLO instance segmentation model in practice. Identifying and outlining common objects in images.

Implements an Object Detection with oriented boxes, utilizing the off-the-shelf YoloV8s-OBB model. It showcases how to detect, track, and analysis traffic.

AMR robots linking with ros2, gazebo, and rviz2 to collect trash around a park