Datasets:
| license: mit | |
| size_categories: | |
| - 10K<n<100K | |
| task_categories: | |
| - image-segmentation | |
| dataset_info: | |
| - config_name: default | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: image | |
| splits: | |
| - name: train | |
| num_bytes: 20624104160.0 | |
| num_examples: 40000 | |
| - name: test | |
| num_bytes: 5112305610.0 | |
| num_examples: 10000 | |
| download_size: 25802886510 | |
| dataset_size: 25736409770.0 | |
| - config_name: default-tiny | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: image | |
| splits: | |
| - name: train | |
| num_bytes: 5141667600.0 | |
| num_examples: 10000 | |
| - name: test | |
| num_bytes: 1287848481.0 | |
| num_examples: 2500 | |
| download_size: 6434219116 | |
| dataset_size: 6429516081.0 | |
| - config_name: human-plant | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: image | |
| splits: | |
| - name: train | |
| num_bytes: 20529582920 | |
| num_examples: 40000 | |
| - name: test | |
| num_bytes: 5084631770 | |
| num_examples: 10000 | |
| download_size: 25675082023 | |
| dataset_size: 25614214690 | |
| - config_name: human-plant-tiny | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: image | |
| splits: | |
| - name: train | |
| num_bytes: 5117076360 | |
| num_examples: 10000 | |
| - name: test | |
| num_bytes: 1280707488.5 | |
| num_examples: 2500 | |
| download_size: 6400701649 | |
| dataset_size: 6397783848.5 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test | |
| path: data/test-* | |
| - config_name: default-tiny | |
| data_files: | |
| - split: train | |
| path: default-tiny/train-* | |
| - split: test | |
| path: default-tiny/test-* | |
| - config_name: human-plant | |
| data_files: | |
| - split: train | |
| path: human-plant/train-* | |
| - split: test | |
| path: human-plant/test-* | |
| - config_name: human-plant-tiny | |
| data_files: | |
| - split: train | |
| path: human-plant-tiny/train-* | |
| - split: test | |
| path: human-plant-tiny/test-* | |
| # AgroSegNet | |
| This dataset comprises synthetic images captured from a top-down perspective, featuring two distinct annotations: one for direct sunlight and another for human and plant segmentation. |