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ripset_cocoa_pod_ripeness_detection

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Ripset Cocoa Pod Ripeness Detection

RipSetCocoaCNCH12 contains 4,116 smartphone images of cocoa pods on the tree, taken in the field during the harvest season at different times of day, with 7,917 pod instances labelled in CVAT. Pods are classed by ripeness stage: stage 1 (0-2 months), stage 2 (2-4 months), stage 3 (4-6 months), harvest stage (over 6 months) and aborted pods. Labels are published as COCO instance polygons, given here as a class mask and matching boxes, with each pod's occlusion flag and the record's image group (images gathered by their dominant class). The dataset contains 4,116 images with 8,026 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{restrepoarias2023ripsetcocoacnch12,
  title={RipSetCocoaCNCH12: Labeled Dataset for Ripeness Stage Detection, Semantic and Instance Segmentation of Cocoa Pods},
  author={Restrepo-Arias, Juan Felipe and Salinas-Agudelo, María Isabel and Hernandez-Pérez, María Isabel and Marulanda-Tobón, Alejandro and Giraldo-Carvajal, María Camila},
  journal={Data},
  volume={8},
  pages={112},
  year={2023},
  publisher={MDPI}
}

The dataset itself can be cited as:

Restrepo-Arias, J. F., Salinas-Agudelo, M. I., Hernandez Pérez, M. I., Marulanda-Tobón, A., & Giraldo-Carvajal, M. C. (2023). RipSetCocoaCNCH12 Dataset [Dataset]. Zenodo. https://doi.org/10.5281/ZENODO.7968315

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