Datasets:
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: objects | |
| struct: | |
| - name: bbox | |
| list: | |
| list: float64 | |
| - name: categories | |
| list: | |
| class_label: | |
| names: | |
| '0': apple_blotch_acervulus | |
| - name: split | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 123508180 | |
| num_examples: 927 | |
| download_size: 123511401 | |
| dataset_size: 123508180 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| license: cc0-1.0 | |
| task_categories: | |
| - object-detection | |
| size_categories: | |
| - n<1K | |
| # Apple Blotch Detection | |
| Detached apple leaves photographed after artificial inoculation with Diplocarpon coronariae, the fungus behind apple blotch, as part of a resistance screening of apple genetic resources (551 varieties in 2022, 80 in 2023) at the Julius Kühn Institute in Dresden-Pillnitz, Germany. Leaves were imaged on a light table with a tripod-mounted Canon DSLR, and 768 x 768 crops of the leaf surface were annotated with bounding boxes around individual acervuli (the fungus's spore-producing spots) for training a YOLOv5 counting model. Crops without symptoms are kept as negatives with no boxes; the split column keeps the authors' train/val split. The dataset contains 927 images with 4,167 bounding box annotations across 1 category. | |
| 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{reim2024yolo, | |
| title={YOLO-Based Phenotyping of Apple Blotch Disease (Diplocarpon coronariae) in Genetic Resources after Artificial Inoculation}, | |
| author={Reim, Stefanie and Richter, Sophie and Leonhardt, Oskar and Maß, Virginia and Wöhner, Thomas Wolfgang}, | |
| journal={Agronomy}, | |
| volume={14}, | |
| pages={1042}, | |
| year={2024}, | |
| publisher={MDPI} | |
| } | |
| ``` | |
| *This dataset was reformatted from its original format to match HuggingFace standards.* | |