Abstract: This paper presents a robust approach for object detection in aerial imagery using the YOLOv5 model. We focus on identifying critical objects such as ambulances, car crashes, police vehicles ...
Abstract: The project aims to implement real-time object detection for edge applications such as surveillance, transportation, and industrial monitoring, where both high-speed processing and low power ...
ABSTRACT: Pointer instruments are widely used in the nuclear power industry. Addressing the issues of low accuracy and slow detection speed in recognizing pointer meter readings under varying types ...
This project is a real-time object detection system that leverages the YOLOv5 model for detecting objects in a video stream from a webcam or other video input. The system is built using a Flask web ...
ABSTRACT: This paper presents a comprehensive approach to face detection utilizing the YOLOv8 model, specifically trained on a diverse dataset consisting of images from four individuals. The trained ...
Hi everyone and @glenn-jocher. I am a beginner at using YOLOv5. My task is to detect objects from 4 classes of garbage (recyclable, harmful, kitchen, and other), which include various specific items ...
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