| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: objects | |
| struct: | |
| - name: bbox | |
| list: | |
| list: float64 | |
| - name: categories | |
| list: | |
| class_label: | |
| names: | |
| '0': plant | |
| '1': weed | |
| splits: | |
| - name: train | |
| num_bytes: 344709072 | |
| num_examples: 402 | |
| download_size: 344736840 | |
| dataset_size: 344709072 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| # Gemini Plant Detection | |
| A dataset for object detection of cowpea plants and weeds. The dataset contains 402 images with 2,972 bounding box annotations across 2 categories. | |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. |