A Study on Fast Detection and Evaluating YOLOV5,YOLOV6,YOLOV7 and YOLOV8

This study aims to compare and evaluate the performance of YOLO versions 5 through 8 in the application of tooth detection. Every version of the YOLO (You Only Look Once) model has improved speed, accuracy, and architectural changes to optimize object detection tasks. The precision, recall, speed, and overall efficiency of these YOLO versions in tooth detection are evaluated by applying them to a standardized dental dataset.

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Publication Details

Published
2025-04-16
DOI
https://doi.org/10.1109/iccct63501.2025.11020238
Citations
1
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
1.24
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article

A Study on Fast Detection and Evaluating YOLOV5,YOLOV6,YOLOV7 and YOLOV8

J. Godwin Ponsam, Juno Bella Gracia S V, B Yogeshwaran, Dharanish Baabu P S et al.
1 citations
Industrial Vision Systems and Defect Detection
1.24
article

A Study on Fast Detection and Evaluating YOLOV5,YOLOV6,YOLOV7 and YOLOV8

J. Godwin Ponsam, Juno Bella Gracia S V, B Yogeshwaran, Dharanish Baabu P S, J Jenish
article en
1 citations

Abstract

This study aims to compare and evaluate the performance of YOLO versions 5 through 8 in the application of tooth detection. Every version of the YOLO (You Only Look Once) model has improved speed, accuracy, and architectural changes to optimize object detection tasks. The precision, recall, speed, and overall efficiency of these YOLO versions in tooth detection are evaluated by applying them to a standardized dental dataset.

SRM Institute of Science and Technology (IN)
Openalex Percentile: Top 19%
Industrial Vision Systems and Defect Detection
1.24
DOISourceOpenAlex
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A Study on Fast Detection and Evaluating YOLOV5,YOLOV6,YOLOV7 and YOLOV8 — J. Godwin Ponsam, Juno Bella Gracia S V, et al. · (2025) | TGRS Research Map | TGRS