---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': airplane
          '1': airport
          '2': baseball diamond
          '3': basketball court
          '4': beach
          '5': bridge
          '6': chaparral
          '7': church
          '8': circular farmland
          '9': cloud
          '10': commercial area
          '11': dense residential
          '12': desert
          '13': forest
          '14': freeway
          '15': golf course
          '16': ground track field
          '17': harbor
          '18': industrial area
          '19': intersection
          '20': island
          '21': lake
          '22': meadow
          '23': medium residential
          '24': mobile home park
          '25': mountain
          '26': overpass
          '27': palace
          '28': parking lot
          '29': railway
          '30': railway station
          '31': rectangular farmland
          '32': river
          '33': roundabout
          '34': runway
          '35': sea ice
          '36': ship
          '37': snowberg
          '38': sparse residential
          '39': stadium
          '40': storage tank
          '41': tennis court
          '42': terrace
          '43': thermal power station
          '44': wetland
  splits:
  - name: train
    num_bytes: 2383019
    num_examples: 18900
  - name: test
    num_bytes: 781557
    num_examples: 6300
  - name: contrast
    num_bytes: 831957
    num_examples: 6300
  - name: gaussian_noise
    num_bytes: 907557
    num_examples: 6300
  - name: impulse_noise
    num_bytes: 894957
    num_examples: 6300
  - name: jpeg_compression
    num_bytes: 932757
    num_examples: 6300
  - name: motion_blur
    num_bytes: 869757
    num_examples: 6300
  - name: pixelate
    num_bytes: 831957
    num_examples: 6300
  - name: spatter
    num_bytes: 819357
    num_examples: 6300
  download_size: 916981012
  dataset_size: 9252875
---

# [RESISC45](https://www.tensorflow.org/datasets/catalog/resisc45)

## Overview

## Usage

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset('tanganke/resisc45')
```

## Dataset Information

The dataset is divided into the following splits:

- **Training set**: Contains 18,900 examples, used for model training.
- **Test set**: Contains 6,300 examples, used for model evaluation and benchmarking.

The dataset also includes the following augmented sets, which can be used for testing the model's robustness to various types of image corruptions:

- **Contrast-enhanced set**: Contains 6,300 examples with enhanced contrast for improved feature visibility.
- **Gaussian noise set**: Contains 6,300 examples where images have been corrupted with Gaussian noise.
- **Impulse noise set**: Contains 6,300 examples with impulse noise.
- **JPEG compression set**: Contains 6,300 examples where images have been compressed using JPEG encoding.
- **Motion blur set**: Contains 6,300 examples with motion blur applied.
- **Pixelate set**: Contains 6,300 examples where images have been pixelated.
- **Spatter set**: Contains 6,300 examples with spatter noise.