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@@ -34,4 +34,36 @@ configs:
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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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+
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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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+
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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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+
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+ ## Citation
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+
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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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+
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+
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+ *This dataset was reformatted from its original format to match HuggingFace standards.*