Custom Logo Detection with YOLOv5 This project implements a custom logo detection system using YOLOv5, following the tutorial approach for training on custom datasets.
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 ...
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 ...
Abstract: This study tackles the intrinsic difficulties that come with fighting fire and addresses the urgent need to improve fire detection techniques. This study thoroughly assesses well-known ...
MinIO is a high-performance, cloud-native object store that runs anywhere (public cloud, private cloud, colo, onprem).
Some results have been hidden because they may be inaccessible to you
Show inaccessible results