Unified Apple Detection Benchmark Dataset for YOLO-Series Model Comparison
Abstract
This dataset is released to support reproducible benchmarking of YOLO-series object detection models for apple detection under a unified evaluation setting. The dataset contains 52,710 annotated apples and was used to evaluate representative YOLO models on the same data for fair performance comparison.
Fields of Study & Subjects
Advanced Neural Network Applications
Smart Agriculture and AI
Industrial Vision Systems and Defect Detection
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 26 February 2026
- Language
- EN
- Document type
- Dataset