Datasets:
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: mask | |
| dtype: image | |
| splits: | |
| - name: train | |
| num_bytes: 97160662 | |
| num_examples: 1542 | |
| download_size: 95358056 | |
| dataset_size: 97160662 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| task_categories: | |
| - image-segmentation | |
| size_categories: | |
| - 1K<n<10K | |
| # Growliflower Caluiflower Segmentation | |
| A dataset for semantic segmentation of cauliflower. The dataset contains 1,542 images with pixel-level mask annotations. | |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. | |
| ## Citation | |
| Kierdorf, Jana & Junker-Frohn, Laura & Delaney, Mike & Olave, Mariele & Burkart, Andreas & Jaenicke, Hannah & Muller, Onno & Roscher, Ribana. (2022). GrowliFlower: An image time‐series dataset for GROWth analysis of cauLIFLOWER. Journal of Field Robotics. 40. 10.1002/rob.22122. | |
| https://phenoroam.phenorob.de/geonetwork/srv/eng/catalog.search#/metadata/cb328232-31f5-4b84-a929-8e1ee551d66a |