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Project-AgML/coffee_detection

Coffee Detection A dataset for object detection of coffee beans. The dataset contains 3,254 images with 126,840 bounding box annotations across 5 categories. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{sanya2024coffee, title={Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications}, author={Sanya, Rahman and Nabiryo, Ann… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/coffee_detection.

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Coffee Detection

A dataset for object detection of coffee beans. The dataset contains 3,254 images with 126,840 bounding box annotations across 5 categories.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

bibtex

@article{sanya2024coffee,
  title={Coffee and cashew nut dataset: A dataset for detection, classification, and yield estimation for machine learning applications},
  author={Sanya, Rahman and Nabiryo, Ann Lisa and Tusubira, Jeremy Francis and Murindanyi, Sudi and Katumba, Andrew and Nakatumba-Nabende, Joyce},
  journal={Data in Brief},
  volume={52},
  pages={109952},
  year={2024},
  publisher={Elsevier}
}

Nakatumba-Nabende, Joyce; Katumba, Andrew; Sanya, Rahman; Tusubira, Jeremy; Murindanyi, Sudi; Namanya, Gloria; Nabiryo, Ann (2023), “Coffee and Cashew Nut Dataset”, Mendeley Data, V1, doi: 10.17632/r46c6bpfpf.1

This dataset was reformatted from its original format to match HuggingFace standards.