Datasets:
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: | |
| class_label: | |
| names: | |
| '0': grass | |
| '1': white_clover | |
| '2': wild_lettuce | |
| - name: frame_type | |
| dtype: string | |
| - name: split | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 19485356 | |
| num_examples: 5005 | |
| download_size: 19428341 | |
| dataset_size: 19485356 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| license: mit | |
| task_categories: | |
| - image-classification | |
| size_categories: | |
| - 1K<n<10K | |
| # Grassfield Weed Classification | |
| Grass-field weed patches released with a two-stage weed identification method. Sub-frames cut from images of grass fields are labelled as grass, irregular weed (white clover, Trifolium repens) or regular weed (wild lettuce, Lactuca virosa); the published split has 4,776 sub-frames (3,182 grass, 1,193 clover, 401 lettuce). Larger region frames (229) carry the same three classes and are included too, marked by a frame_type column, with the published train/test split. Images were taken with two cameras under sunny, cloudy and shaded conditions at different locations. The dataset contains 5,005 images across 3 classes: grass, white_clover, wild_lettuce. | |
| Images per class: | |
| - grass: 3,295 | |
| - white_clover: 1,275 | |
| - wild_lettuce: 435 | |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. | |
| The original train/test/val split has been preserved in the `split` column. | |
| ## Citation | |
| ```bibtex | |
| @article{calderaracea2024two, | |
| title={A two-stage deep learning strategy for weed identification in grassfields}, | |
| author={Calderara-Cea, Felipe and Torres-Torriti, Miguel and Auat Cheein, Fernando and Delpiano, José}, | |
| journal={Computers and Electronics in Agriculture}, | |
| volume={225}, | |
| pages={109300}, | |
| year={2024}, | |
| publisher={Elsevier} | |
| } | |
| ``` | |
| *This dataset was reformatted from its original format to match HuggingFace standards.* | |