datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sapota_fruit_size_classification
Sapota Fruit Size Classification
A dataset for classification of Sapota Fruit Size. The dataset contains 6,010 images across 4 classes: Large, Medium, Small, Spoiled.Images per class:
Large: 1,451
Medium: 1,416
Small: 1,443
Spoiled: 1,700
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{bhatt2025dedicated,
title={Dedicated dataset of Sapota (Manilkara zapota) fruit for machine vision applications}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/sapota_fruit_size_classification.autotrain-data-size
AutoTrain Dataset for project: size
Dataset Description
This dataset has been automatically processed by AutoTrain for project size.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"image": "<990x990 RGB PIL image>",
"target": 0
},
{
"image": "<966x990 RGB PIL image>",
"target": 0
}]
Dataset Fields
The dataset… See the full description on the dataset page: https://huggingface.co/datasets/kkar0/autotrain-data-size.