Abstract: Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and recognition are ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

This repository contains my assignment: training and inference for object detection/segmentation using Ultralytics YOLO (custom dataset).

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.

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Introduction: To achieve fast detection of pear fruits in natural pear orchards and optimize path planning for harvesting robots, this study proposes the AHG-YOLO model for multi-category detection of ...

Abstract: This work presents to detect road signs in a few seconds for avoid accidents. For this work, there is utilized YOLO v5 object detection algorithm with PyTorch. In this method, image ...