metadata
license: other
task_categories:
- object-detection
size_categories:
- 1K<n<10K
Dataset Card
🚀 Uploaded using hubify - Convert object detection datasets to HuggingFace format (
pip install hubify-dataset)
⚠️ Note: This dataset has been derived from research work. All credits go to the original authors. Please review the license and citation information above before use.
This dataset contains object detection annotations converted to HuggingFace image dataset format.
📊 Dataset Details
- 🏷️ Number of classes: 16
- 📁 Splits: train, validation
- 🖼️ Format: Images with bounding box annotations
🎯 Classes
The dataset contains the following 16 classes:
- plane
- ship
- storage tank
- baseball diamond
- tennis court
- basketball court
- ground track field
- harbor
- bridge
- large vehicle
- small vehicle
- helicopter
- roundabout
- soccer ball field
- swimming pool
- container crane
📜 License
CC BY-NC
📝 Citation
If you use this dataset, please cite:
@article{9560031,
author={Ding, Jian and Xue, Nan and Xia, Gui-Song and Bai, Xiang and Yang, Wen and Yang, Michael and Belongie, Serge and Luo, Jiebo and Datcu, Mihai and Pelillo, Marcello and Zhang, Liangpei},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges},
year={2021},
volume={},
number={},
pages={1-1},
doi={10.1109/TPAMI.2021.3117983}
}
💻 Usage
from datasets import load_dataset
dataset = load_dataset("benjamintli/dota-v1.5")
Converted and uploaded with hubify (pip install hubify-dataset)