Dataset · Hugging Face

Project-AgML/FruitVision_quality_classification

Name: FruitVision_quality_classification
Creator: Project-AgML
License: cc-by-nc-nd-4.0
Keywords: task_categories:image-classification, license:cc-by-nc-nd-4.0, size_categories:10K<n<100K, format:parquet, format:optimized-parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us

FruitVision Quality Classification A dataset for quality classification of apples, bananas, mangoes, grapes, and oranges. The dataset contains raw and augmented versions.The raw dataset contains 10,154 images.Images per class: Formalin-mixed: 3,176 Fresh: 3,800 Rotten: 3,178 The augmented dataset contains 73,389 images.Images per class: Formalin-mixed: 22,228 Fresh: 30,400 Rotten: 20,761 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/FruitVision_quality_classificat

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Author / organization	Project-AgML
License (as declared)	cc-by-nc-nd-4.0
Downloads	422 (as reported by Hugging Face)
Likes	0
Created	25 June 2026
Last updated at source	6 July 2026

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