datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
FruitVision_quality_classification
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_classification.banana_guava_quality_classification
Banana Guava Quality Classification
A dataset for quality classification of bananas and guavas. The dataset contains 1,748 images across 3 classes: Class_A, Class_B, Defect.Images per class:
Class_A: 671
Class_B: 469
Defect: 608
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{kumari2024banana,
title={Banana and Guava dataset for machine learning and deep learning-based quality classification}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/banana_guava_quality_classification.