on-device sensitive content blocker for Android. Works across any app powered by a custom-trained on-device AI model.

A fully on‑device Android‑native aim assistant that helps visually impaired players detect and track opponents in realtime

Vietnam Traffic Sign Detection using YOLO26n (Ultralytics) with a Streamlit demo for image/video inference (54 classes, Roboflow dataset)

yolo26-plate 车牌检测 车牌识别 中文车牌识别 检测 支持12种中文车牌 支持双层车牌 (C++ | TensorRT推理）

YOLOv26 re-implementation using PyTorch

A deep learning project which integrates YOLOv26-pose model and YOLOv26 for human detection.

Learn how to use YOLO for object detection and how to train your own models.

Three-Camera Security Monitoring with AI-Powered Threat Detection

An end-to-end computer vision dataset pipeline that automatically cleans images, generates annotations, and exports ready-to-train datasets.

This Repository's aim is to develop my understanding of Computer Vision and YOLO.

Grape Segmentation using YOLO Models

Real-time CCTV threat detection pipeline built with Python, YOLO26n, ByteTrack, MediaPipe Pose, and OpenCV to detect fights, loitering, weapons, and abandoned objects from video streams.

This repository contains the implementation of YOLOv26 l-seg model for pothole image segmentation.

Turkish license plate detection & recognition system — YOLOv26n + LLM-based OCR, FastAPI microservices, React UI, Docker Compose

This project develops an intelligent safety monitoring system for construction sites using the YOLOv26 object detection model. The system detects whether workers are wearing mandatory Personal Protective Equipment (PPE) such as helmets, safety vests, gloves, and boots in real time using camera input. By analyzing construction site images and video.

An automated toll booth system that utilizes deep learning (YOLO) to detect vehicles and recognize license plates for seamless toll collection.