README.md

metadata

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
• Paper High-Resolution Remote Sensing Image Retrieval Based on CNNs from a Dimensional Perspective
• Split Validation

Split Information

This HuggingFace dataset repository contains just the Validation split.

Licensing Information

Free for education, research and commercial use.

Citation Information

Accurate Object Localization in Remote Sensing Images Based on Convolutional Neural Networks

High-Resolution Remote Sensing Image Retrieval Based on CNNs from a Dimensional Perspective

@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
}