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Grapevine Bunch Detection

This dataset provides real-world RGB images of grape bunches in vineyard fields located in Vairão, Portugal. Images were captured using a handheld smartphone in natural agricultural field conditions, offering diverse perspectives of grape clusters under typical vineyard environments. It serves as a practical resource for developing and evaluating object detection models in precision agriculture applications. The dataset contains 10,010 images with 11,672 bounding box annotations across 1 category.

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

The original train/test/val split has been preserved in the split column.

Citation

@article{pinheiro2023deep,
  title={Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions},
  author={Pinheiro, Isabel and Moreira, Germano and Queirós da Silva, Daniel and Magalhães, Sandro and Valente, António and Moura Oliveira, Paulo and Cunha, Mário and Santos, Filipe},
  journal={Agronomy},
  volume={13},
  pages={1120},
  year={2023},
  publisher={MDPI}
}

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

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