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Project-AgML/VegNet_quality_classification

VegNet Quality Classification A dataset for quality classification of various crops. The dataset contains 6,150 images across 5 classes: Damaged, Dried, Old, Ripe, Unripe.Images per class: Damaged: 317 Dried: 1,389 Old: 2,044 Ripe: 1,787 Unripe: 613 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{suryawanshi2022vegnet, title={VegNet: dataset of vegetable quality images for machine learning… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/VegNet_quality_classification.

sourceHugging Facecc-by-4.0updated 2mo agoView on Hugging Face

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