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Comprehensive framework for training and evaluating YOLO models on the TinyPerson dataset for small object detection. This repository provides tools to benchmark different YOLO model versions (v8, v9, v10, v11, v12) on detecting small persons in images
Real-time YOLO Object Detection using OpenCV and pre-trained model. Detects and labels objects in live camera feed. A simple yet powerful computer vision project.
YOLOv7 is a state-of-the-art object detection model known for its speed and accuracy. This repository focuses on utilizing the YOLOv7 model in an efficient and scalable manner by implementing it with ONNX and OpenCV. Multi-threading is employed to achieve real-time performance on compatible hardware.