Datasets:

Project-AgML
/

mango_growth_detection

image imagewidth (px) 640 640	objects dict
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Mango Growth Object Detection

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.

Citation

@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, Mohammad Rifat Ahmmad and Islam, Maheen and Jabid, Taskeed and Islam, Mohammad Manzurul and Ali, Md Sawkat},
  journal={Data in Brief},
  volume={61},
  pages={111780},
  year={2025},
  publisher={Elsevier}
}```

Kabir, Sayem ; Rashid, Mohammad Rifat Ahmmad (2024), “Image Dataset for Mango Growth Stages  Analysis”, Mendeley Data, V1, doi: 10.17632/5snwpzdtzs.1

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