A dataset for object detection of Mango Growth. The dataset contains 2,000 images with 3,174 bounding box annotations across 4 categories.
This dataset is indexed on
https://project-agml.github.io/ as part of the AgML python library.
@article{kabir2025smartphone,
title={Smartphone image dataset for machine learning-based monitoring and analysis of mango growth stages},
author={Kabir, Sayem and Akon, Md Fokrul and Rashid… See the full description on the dataset page:
https://huggingface.co/datasets/Project-AgML/mango_growth_detection.