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  ---
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- dataset_info:
 
 
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  features:
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  - name: image
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  dtype: image
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  - name: label
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- dtype: int64
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- splits:
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- - name: train
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- num_bytes: 515130012
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- num_examples: 1720
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- download_size: 521022778
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- dataset_size: 515130012
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- configs:
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- - config_name: default
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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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  ---
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+ configs:
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+ - config_name: default
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+ default: true
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  features:
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  - name: image
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  dtype: image
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  - name: label
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+ dtype:
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+ class_label:
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+ names:
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+ '0': ALTERNARIA LEAF SPOT
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+ '1': HEALTHY
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+ '2': LEAF SPOT
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+ '3': ROSETTE
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+ '4': RUST
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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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+
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+ # Groundnut Leaf Disease Classification
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+
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+ A dataset for image classification of Groundnut Leaf Disease Classification. The dataset contains 1,720 images across 5 classes: ALTERNARIA LEAF SPOT, HEALTHY, LEAF SPOT, ROSETTE, RUST.
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+ Images per class:
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+ - ALTERNARIA LEAF SPOT: 450
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+ - HEALTHY: 600
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+ - LEAF SPOT: 450
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+ - ROSETTE: 100
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+ - RUST: 120
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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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+ <!-- TODO: add BibTeX citation -->
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+ ```
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+
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+ <!-- TODO: add plain text citation -->
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+