---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': airplane
          '1': airport
          '2': artificial dense forest land
          '3': artificial sparse forest land
          '4': bare land
          '5': basketball court
          '6': blue structured factory building
          '7': building
          '8': construction site
          '9': cross river bridge
          '10': crossroads
          '11': dense tall building
          '12': dock
          '13': fish pond
          '14': footbridge
          '15': graff
          '16': grassland
          '17': irregular farmland
          '18': low scattered building
          '19': medium density scattered building
          '20': medium density structured building
          '21': natural dense forest land
          '22': natural sparse forest land
          '23': oil tank
          '24': overpass
          '25': parking lot
          '26': plastic greenhouse
          '27': playground
          '28': railway
          '29': red structured factory building
          '30': refinery
          '31': regular farmland
          '32': scattered blue roof factory building
          '33': scattered red roof factory building
          '34': sewage plant-type-one
          '35': sewage plant-type-two
          '36': ship
          '37': solar power station
          '38': sparse residential area
          '39': square
          '40': steelworks
          '41': storage land
          '42': tennis court
          '43': thermal power plant
          '44': vegetable plot
          '45': water
  splits:
  - name: train
    num_bytes: 1650045051.96
    num_examples: 17516
  download_size: 2184490825
  dataset_size: 1650045051.96
license: other
---
# Dataset Card for "RSD46-WHU"

## Dataset Description

- **Paper** [Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks](https://ieeexplore.ieee.org/iel7/36/7880748/07827088.pdf)
- **Paper** [High-Resolution Remote Sensing Image Retrieval Based on CNNs from a Dimensional Perspective](https://www.mdpi.com/209338)
- **Split** Validation

## Split Information

This HuggingFace dataset repository contains just the Validation split.

### Licensing Information

[Free for education, research and commercial use.](https://github.com/RSIA-LIESMARS-WHU/RSD46-WHU)

## Citation Information

[Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks](https://ieeexplore.ieee.org/iel7/36/7880748/07827088.pdf)

[High-Resolution Remote Sensing Image Retrieval Based on CNNs from a Dimensional Perspective](https://www.mdpi.com/209338)

```
@article{long2017accurate,
  title        = {Accurate object localization in remote sensing images based on convolutional neural networks},
  author       = {Long, Yang and Gong, Yiping and Xiao, Zhifeng and Liu, Qing},
  year         = 2017,
  journal      = {IEEE Transactions on Geoscience and Remote Sensing},
  publisher    = {IEEE},
  volume       = 55,
  number       = 5,
  pages        = {2486--2498}
}
@article{xiao2017high,
  title        = {High-resolution remote sensing image retrieval based on CNNs from a dimensional perspective},
  author       = {Xiao, Zhifeng and Long, Yang and Li, Deren and Wei, Chunshan and Tang, Gefu and Liu, Junyi},
  year         = 2017,
  journal      = {Remote Sensing},
  publisher    = {MDPI},
  volume       = 9,
  number       = 7,
  pages        = 725
}
```