Datasets:
File size: 2,238 Bytes
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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.* |