--- dataset_info: features: - name: image dtype: image - name: label sequence: class_label: names: '0': apron '1': baseball field '2': basketball field '3': beach '4': bridge '5': cemetery '6': commercial '7': farmland '8': woodland '9': golf course '10': greenhouse '11': helipad '12': lake or pond '13': oil field '14': orchard '15': parking lot '16': park '17': pier '18': port '19': quarry '20': railway '21': residential '22': river '23': roundabout '24': runway '25': soccer '26': solar panel '27': sparse shrub '28': stadium '29': storage tank '30': tennis court '31': train station '32': wastewater plant '33': wind turbine '34': works '35': sea splits: - name: train num_bytes: 867506522 num_examples: 14000 download_size: 867005851 dataset_size: 867506522 license: mit task_categories: - image-classification - zero-shot-image-classification --- # Dataset Card for "MultiScene" ## Dataset Description - **Paper** [MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images](https://ieeexplore.ieee.org/iel7/36/4358825/09537917.pdf) - **Split** Clean ### Split Information This HuggingFace dataset repository contains just the 'Clean' split. ### Licensing Information MIT. ## Citation Information [MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images](https://ieeexplore.ieee.org/iel7/36/4358825/09537917.pdf) ``` @article{hua2021multiscene, title = {MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images}, author = {Hua, Y. and Mou, L. and Jin, P. and Zhu, X. X.}, year = {in press}, journal = {IEEE Transactions on Geoscience and Remote Sensing} } ```