Datasets:

Project-AgML
/

sunflower_detection

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

@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.