Datasets:
File size: 1,343 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Large
'1': Medium
'2': Small
'3': Spoiled
splits:
- name: train
num_bytes: 16876341
num_examples: 6010
download_size: 15845938
dataset_size: 16876341
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# 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
```bibtex
@article{bhatt2025dedicated,
title={Dedicated dataset of Sapota (Manilkara zapota) fruit for machine vision applications},
author={Bhatt, Anita and Joshi, Maulin},
journal={Data in Brief},
pages={111896},
year={2025},
publisher={Elsevier}
}
```
Bhatt, Anita; Joshi, Maulin (2025), “Sapota Fruit Datasets”, Mendeley Data, V2, doi: 10.17632/jgtb95x6kf.2
*This dataset was reformatted from its original format to match HuggingFace standards.* |