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| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: mask | |
| dtype: image | |
| - name: row | |
| dtype: string | |
| splits: | |
| - name: train | |
| num_bytes: 13517766010 | |
| num_examples: 646 | |
| download_size: 13517992306 | |
| dataset_size: 13517766010 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| license: cc-by-4.0 | |
| task_categories: | |
| - image-segmentation | |
| size_categories: | |
| - n<1K | |
| # Vineyard Grape Segmentation | |
| A dataset for semantic segmentation of grape bunches in a vineyard. The dataset contains 646 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 | |
| @article{ariza2023dataset, | |
| title={Dataset on UAV RGB videos acquired over a vineyard including bunch labels for object detection and tracking}, | |
| author={Ariza-Sent{\'\i}s, Mar and V{\'e}lez, Sergio and Valente, Jo{\~a}o}, | |
| journal={Data in Brief}, | |
| volume={46}, | |
| pages={108848}, | |
| year={2023}, | |
| publisher={Elsevier} | |
| } | |
| ``` | |
| Mar Ariza Sentís, Sergio Vélez& João Valente. (2021). Dataset on UAV RGB videos acquired over a vineyard property of Bodegas Terras Gauda at an early stage of Botrytis cinerea infection in 2021 (Version 2.0) [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.7330951 | |
| *This dataset was reformatted from its original format to match HuggingFace standards.* |