Multi-Class Fruit and Vegetable Detection Dataset for Computer Vision

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Authors: Mencía George Bayón, Lidia Sánchez González
Cited by: 1

Abstract

This dataset contains 20216 annotated images of 30 fruit and vegetable categories, and 222301 annotations. All images are annotated in YOLO format. The dataset includes training, validation, and test splits.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 March 2026
Document type
Dataset