YoloV8 for a bare Raspberry Pi 4 or 5
YoloV8 NPU for the RK3566/68/88
🐕 Quadruped manipulator planner and controller using MPC and WBC based on OCS2: Unitree AlienGo + Z1
Many yolov8 model are trained on the VisDrone dataset.
Welcome to the YOLOv8 Human Detection Beginner's Repository – your entry point into the exciting world of object detection! This repository is tailored for beginners, providing a straightforward implementation of YOLOv8 for human detection in images and videos.
An example of using OpenCV dnn module with YOLOv8. (ObjectDetection, Segmentation, Classification, PoseEstimation)
Use an image classifier to predict audio file labels.
PCBQualityControl uses the latest segmentation models to solve this problem of void detection. This solution trained Yolov8 on the target to automatically select (bounding box). SAM then uses the output of YOLO to segment the image, exposing the void and component areas. A quality control report is generated based on the voids to components ratio.
Object detection on Custom Dataset using YOLOv8. The dataset has been created by me.
This project involves building a vehicle object detection model using the YOLOv8n architecture on the JUIVCDv1 dataset
Smart fan that recognize human & adjust it's angle via detection
Project involving the development of a Flask application, which utilizes a YOLOv8 model trained on a distinct Kaggle weather classification dataset, thereby enabling the classification of weather conditions from user-provided images
real-time cpu only eye-tracking using a pretrained yolov8n face detection model and a custom finetuned yolov8n-pose model for the eyes. supports both live webcam feed and video files.
Поиск выбоин на дорогах с использованием YOLOv8 Nano
Realtime car traffic tracking using yolov8 model
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