Datasets:
| app_media_fields: | |
| - filepath | |
| - thumbnail_path | |
| description: 'PhenoBench is a large UAV image dataset for semantic image interpretation | |
| in agriculture, focusing on sugar beet crops and weeds. Published in IEEE T-PAMI | |
| 2024. This release includes train/val/test splits with semantic segmentation masks | |
| (background, crop, weed, partial-crop, partial-weed), plant and leaf instance segmentation, | |
| and plant/leaf visibility heatmaps. Source: https://www.phenobench.org/' | |
| format: FiftyOneDataset | |
| grid_media_field: thumbnail_path | |
| license: cc-by-sa-4.0 | |
| name: PhenoBench-bak | |
| tags: | |
| - agriculture | |
| - agtech | |
| - crops | |
| - demo | |
| - drone | |
| - fiftyone | |
| - image | |
| - image-segmentation | |
| - instance-segmentation | |
| - object-detection | |
| - phenotyping | |
| - semantic-segmentation | |
| - sugar-beet | |
| - uav | |
| - weeds | |