Datasets:
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: mask | |
| dtype: image | |
| splits: | |
| - name: train | |
| num_bytes: 25331768 | |
| num_examples: 665 | |
| download_size: 25359634 | |
| dataset_size: 25331768 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| license: cc-by-4.0 | |
| task_categories: | |
| - image-segmentation | |
| size_categories: | |
| - n<1K | |
| # Lelephid Classification | |
| This dataset provides real RGB images of aphid-infested lemon leaves captured in field conditions in Junín, Ecuador. Collected using a handheld smartphone camera during the December to May period, it offers a practical resource for developing semantic segmentation models focused on agricultural disease detection. The dataset contains 665 images with pixel-level mask annotations. | |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. | |
| ## Citation | |
| ```bibtex | |
| <!-- TODO: add BibTeX citation --> | |
| ``` | |
| <!-- TODO: add plain text citation --> | |
| The dataset itself can be cited as: | |
| Parraga-Alava, J. (2021). *LeLePhid: An Images Dataset for Aphids Detection and Infestation Severity on Lemons Leaf* [Dataset]. Mendeley Data. https://doi.org/10.17632/TNDHS2ZNG4.1 | |
| *This dataset was reformatted from its original format to match HuggingFace standards.* | |