A Comparative Analysis of Deep-Learning-Based YOLO Models (V8n and V8s) for Object Detection Using GSV Images
Author:
Affiliation:
1. Symbiosis Institute of Geoinformatics (SIG), Symbiosis International (Deemed University),Pune,India,411016
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10430202/10430203/10430204.pdf?arnumber=10430204
Reference38 articles.
1. A Faster and Lighter Detection Method for Foreign Objects in Coal Mine Belt Conveyors
2. Experimental Results on Synthetic Data Generation in Unreal Engine 5 for Real-World Object Detection
3. Object detection in hospital facilities: A comprehensive dataset and performance evaluation
4. Detection of Vertical Poles in a Road Environment Using Monocular Images based on YOLOv4
5. Coal Mine Belt Conveyor Foreign Objects Recognition Method of Improved YOLOv5 Algorithm with Defogging and Deblurring
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