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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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license: cc-by-4.0
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task_categories:
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- image-classification
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size_categories:
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- 1K<n<10K
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---
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# Musa Banana Tier Classification
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This dataset contains real RGB images of banana tiers (post-harvest segments of Musa acuminata bunches) captured in a controlled laboratory environment across locations in the Philippines. Images were acquired using a fixed-position A4Tech PK-910H camera, providing standardized visual data for tier classification research in agricultural settings. The dataset contains 1,164 images across 4 classes: 1, 2, 3, 4.
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Images per class:
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- 1: 390
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- 2: 294
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- 3: 180
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- 4: 300
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This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
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## Citation
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```bibtex
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@article{piedad2023post,
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title={Post-harvested Musa acuminata Banana Tiers Dataset},
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author={Piedad, Eduardo Jr and Caladcad, June Anne},
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journal={Data in Brief},
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volume={46},
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pages={108856},
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year={2023},
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publisher={Elsevier}
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}
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```
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*This dataset was reformatted from its original format to match HuggingFace standards.*
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