GitHub

NOLOcam - Never Only Look Once

NOLOcam is a sophisticated Go-based system for tracking and monitoring objects using PTZ cameras with YOLO object detection. Unlike YOLO's "You Only Look Once" approach, NOLOcam continuously tracks ...
IEEE

SEPEN-YOLO: Detection of Low-altitude Small Objects Based on Shallow Features

Abstract: With the rapid proliferation of Unmanned Aerial Vehicle (UAV) applications, the ensuing airspace security surveillance demands reveal that existing detection methods face dual challenges in ...
IEEE

Small-Object Detection at the Edge: A Pareto-Efficient Benchmark of Lightweight YOLO Models on UAV and Overhead Datasets

Abstract: Small-object detection plays a critical role in real-time aerial, Unmanned Aerial Vehicle (UAV), and satellite vision systems, as well as many other domains, where hardware constraints and ...
Scientific Research Publishing

Traffic Object Detection Using YOLOv12 ()

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
Scientific Research Publishing

YOLO-AgriNet: A Deep Learning-Based Model for Real-Time Plant Disease Detection in Precision Agriculture ()

1 Ambam Computer Science and Application Laboratory & Department of Computer Engineering, Higher Institute of Transport, Logistics and Commerce, University of Ebolowa, Ebolowa, Cameroon. 2 Institut ...
GitHub

sijeong-kim/RealTime-Object-Detection

NVIDIA Jetson Xavier, JetPack 4.4 CUDA 10.2, cuDNN 8.0.0, ROS Melodic Python 3.6.9, Tensorflow 2.3.1 딥러닝 학습 서버 노트북과 구동할 로봇의 개발환경 구축 알고리즘 자료 조사 사람과 마커를 Detection하는 YOLO 모델 ...