Project-AgML/rice_seedling_classification
Rice Seedling Classification A dataset for image classification of Rice Seedlings. The dataset contains 5,364 images across 3 classes: clustered, single, undefined. Images per class: clustered: 1,437 single: 1,367 undefined: 2,560 This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{luu2024rigad, title={RiGaD: An aerial dataset of rice seedlings for assessing germination rates and density}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/rice_seedling_classification.
Remove pre-parquet imagefolder files
Upload dataset
Move inline configs[].features into dataset_info:
Create README.md
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
Add files using upload-large-folder tool
initial commit
