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September 10, 2025Edu Komputika JournalOpen Access

Benchmarking YOLOv3 and SSD: A Performance Comparison for Multi-Object Detection

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Authors

SPSeptian Eko PrasetyoCAChandra AtmajaMAMuhammad Ardian

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Overview

This evaluation compares YOLO and SSD performance using mean Average Precision in object detection, highlighting YOLO's advantages.

Key Points

  • YOLO achieves a mean Average Precision of 82.01%, significantly outperforming SSD's 70.47%.
  • This evaluation indicates a strong performance gap between the YOLO and SSD models for multi-object detection tasks.
  • Assessments utilized the PASCAL VOC dataset, featuring 1,447 annotated images for comprehensive analysis.
  • Findings emphasize YOLO's superior effectiveness and potential suitability for real-time applications in multiple domains.

Cite This Study

Prasetyo et al. (2024) studied this question.

synapsesocial.com/papers/68c1e08354b1d3bfb60fd8d1https://doi.org/10.15294/edukom.v11i2.28005
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