| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: labels |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 7107846057 |
| num_examples: 3655 |
| - name: val |
| num_bytes: 2864224020 |
| num_examples: 1476 |
| - name: test |
| num_bytes: 2946429070 |
| num_examples: 1381 |
| download_size: 12924720940 |
| dataset_size: 12918499147 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: val |
| path: data/val-* |
| - split: test |
| path: data/test-* |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| tags: |
| - wheat-head-detection |
| size_categories: |
| - 1K<n<10K |
| --- |
| # Global Wheat Head Detection (GWHD) dataset |
|
|
| Cite as: |
|
|
| > David, Etienne et al. (2020). Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods. Plant Phenomics, 2020. Science Partner Journal. |
| > DOI: [10.5281/zenodo.5092309](https://doi.org/10.5281/zenodo.5092309) |
|
|
| License: [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
