yolov

apex aim assit

A cutting-edge deep learning project that combines YOLOv11 (for real-time object detection) with SAM2 (Segment Anything Model) to accurately detect and segment tumors in medical images. Designed for high precision in healthcare diagnostics and research applications.

Instance and panoptic segmentation using yolov9 in onnx

An AI-powered application for face detection and meshing with facial landmarks (video processing), using two deep learning models: YOLOv8n-face and MediaPipe

Yolo v5 with CPP

TEKNOFEST Savaşan İHA Yarışması kapsamında geliştirilen savaşan iha görevi (otonom kilitlenme, hedef tespiti, hedef takibi) ve kamikaze görevi yazılımları.

Temporal video object detection for four pollinator classes using YOLOV++ and YOLOX-Swin, with an RF-DETR track and measured COCO AP results.

Real-time object detection system using YOLOv with live camera, radar visualization, object tracking, and pretrained weight files.

An IoT solution for automating environmental management using real-time data from sensors and actuators, accessible via a responsive web app and Grafana dashboards.

Some useful and common scripts for future use

A YOLOv8 based project for real-time traffic density estimation. It employs fine-tuned vehicle detection models to analyze and count vehicles per frame, aiding urban traffic management and planning. The repository includes model training, traffic intensity analysis, and deployment strategies.