An example of using OpenCV dnn module with YOLOv8. (ObjectDetection, Segmentation, Classification, PoseEstimation)

Real Time Object Detection with YoloV8 flask server using WebSockets and VueJS as client in Docker containers

使用yolov8、fast-reid、deepsort完成目标跟踪，使用yolov8、fast-reid、Faiss完成行人重识别

Retraining YOLOv8 for custom datasets. These codes have served as the basis for the deep learning practice of the CSIC 2024 artificial intelligence summer school.

The project is a Dockerized microservice utilizing YOLO for object detection, managed with Docker Compose. It exposes a REST API for detection tasks, ensuring scalability and ease of deployment. Developed with FastAPI, it accurately detects and reports objects within images, prioritizing code quality, containerization efficiency, and clear document

This repository contains my work on Detection and Segmentation using YOLOv8.

This repository contains the codebase and documentation for a comparative analysis of various lightweight face detection models optimized for real-time detection on edge devices. The study evaluates the models based on their accuracy, speed, and performance across different poses and environments, using the WIDER FACE dataset.

Thesis codes

This project is a production-ready YOLOv8n Computer Vision model for industrial egg fertility sorting with aws implementation plans including cost reporting.

🐕 Quadruped manipulator planner and controller using MPC and WBC based on OCS2: Unitree AlienGo + Z1

Realtime car traffic tracking using yolov8 model

This project involves building a vehicle object detection model using the YOLOv8n architecture on the JUIVCDv1 dataset

MazeVil AI aims to create an autonomous agent, using TensorFlow Lite and YOLOv8 models (only one in game), detect objects in real-time and navigates mazes with pathfinding algorithms, ensure strategic precision in combat using otimization algorithms.

Facial Emotion Detection using YOLOv8: A real-time facial emotion detection system built with YOLOv8 and Flask. This project leverages a custom dataset with English-translated emotion labels and provides a user-friendly web interface for image uploads and live webcam analysis. Includes instructions for setup, usage, and training your own model.

Tensorflow.js object detection yolov8n coco-Ssd

YOLOv8 for Object Detection. This model is trained for the custom data set. YOLOv8 is an Open Source SOTA model built and maintained by the Ultralytics team. You guys can use this model for your custom dataset. I tried to provide the model just like plug and play.

Real-time monitoring system to detect and alert use of phone using YOLO

MESOS: An AI Powered Emergency Notification System Integrated with ERP 2.0

Identifies 5 native plant species in Alberta using YOLOv8 for object detection, trained on a custom dataset. Features a Gradio demo for real-time plant recognition. Completed as part of my ML diploma.

Create a machine-learning algorithm that counts the number of grass-thatch, tin and other roofed houses in aerial (drone) imagery.