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| dataset_info: | |
| - config_name: augmented | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: objects | |
| struct: | |
| - name: bbox | |
| list: | |
| list: float64 | |
| - name: categories | |
| list: | |
| class_label: | |
| names: | |
| '0': Sunflower | |
| '1': Backside-Sunflower | |
| splits: | |
| - name: train | |
| num_bytes: 1453787962 | |
| num_examples: 4286 | |
| download_size: 1293314179 | |
| dataset_size: 1453787962 | |
| - config_name: raw | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: objects | |
| struct: | |
| - name: bbox | |
| list: | |
| list: float64 | |
| - name: categories | |
| list: | |
| class_label: | |
| names: | |
| '0': Sunflower | |
| '1': Backside-Sunflower | |
| splits: | |
| - name: train | |
| num_bytes: 598164199 | |
| num_examples: 1649 | |
| download_size: 792124835 | |
| dataset_size: 598164199 | |
| configs: | |
| - config_name: augmented | |
| data_files: | |
| - split: train | |
| path: augmented/train-* | |
| - config_name: raw | |
| data_files: | |
| - split: train | |
| path: raw/train-* | |
| default: true | |
| license: cc-by-4.0 | |
| task_categories: | |
| - object-detection | |
| size_categories: | |
| - 1K<n<10K | |
| # Sunflower Detection | |
| A dataset for detection of sunflowwers. The dataset contains raw and augmented versions. | |
| The raw split contains 1,649 images with 136,239 bounding box annotations across 2 categories. | |
| The augmented split contains 4,286 images with 296,333 bounding box annotations across 2 categories. | |
| This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. | |
| ## Citation | |
| ```bibtex | |
| @article{hossain2025drone, | |
| title={Drone-based dataset of annotated sunflower images from Bangladesh}, | |
| author={Hossain, Md Shafayat and Rashid, Mohammad Rifat Ahmmad and Fahim, Md and Ali, Md Sawkat and Islam, Maheen and Islam, Mohammad Manzurul and Ferdaus, Md Hasanul and Niloy, Nishat Tasnim and others}, | |
| journal={Data in Brief}, | |
| volume={59}, | |
| pages={111417}, | |
| year={2025}, | |
| publisher={Elsevier} | |
| } | |
| ``` | |
| Rashid, Mohammad Rifat Ahmmad; Fahim, MD. ; Hossain, Md. Shafayat ; Alindo, Tahzib-E- (2024), “Sunflower image dataset from Bangladesh”, Mendeley Data, V1, doi: 10.17632/txct4k36ct.1 | |
| *This dataset was reformatted from its original format to match HuggingFace standards.* |