# Dataset Card for "NaSC-TG2"

## Dataset Description

- **Paper:** [NaSC-TG2: Natural scene classification with Tiangong-2 remotely sensed imagery](https://ieeexplore.ieee.org/iel7/4609443/9314330/09366968.pdf)

### Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

Public Domain

## Citation Information

[https://ieeexplore.ieee.org/iel7/4609443/9314330/09366968.pdf](https://ieeexplore.ieee.org/iel7/4609443/9314330/09366968.pdf)

```
@article{Zhou2021NaSCTG2,
  title        = {NaSC-TG2: Natural Scene Classification With Tiangong-2 Remotely Sensed Imagery},
  author       = {Zhuang Zhou and Shengyang Li and Wei Wu and Weilong Guo and Xuan Li and Guisong Xiaand Zifei Zhao},
  year         = 2021,
  journal      = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  volume       = 14,
  pages        = {3228--3242}
}
```

### Contributions

[More Information Needed]
license:cc-by-nc-sa-4.0 region:us
{"license": "cc-by-nc-sa-4.0", "dataset_info": {"features": [{"name": "image", "dtype": "image"}, {"name": "label", "dtype": {"class_label": {"names": {"0": "beach", "1": "circular farmland", "2": "cloud", "3": "desert", "4": "forest", "5": "mountain", "6": "rectangular farmland", "7": "residential", "8": "river", "9": "snowberg"}}}}], "splits": [{"name": "train", "num_bytes": 53937080, "num_examples": 20000}], "download_size": 75374352, "dataset_size": 53937080}}
TAGS
#license-cc-by-nc-sa-4.0 #region-us 

# Dataset Card for "NaSC-TG2"

## Dataset Description

- Paper: NaSC-TG2: Natural scene classification with Tiangong-2 remotely sensed imagery

### Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

### Supported Tasks and Leaderboards



### Languages



## Dataset Structure

### Data Instances



### Data Fields



### Data Splits



## Dataset Creation

### Curation Rationale



### Source Data

#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators



### Licensing Information

Public Domain



URL



### Contributions


# Dataset Card for "NaSC-TG2" ## Dataset Description

- Paper: NaSC-TG2: Natural scene classification with Tiangong-2 remotely sensed imagery ### Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template. ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

Public Domain



URL ### Contributions
TAGS
#license-cc-by-nc-sa-4.0 #region-us 
 # Dataset Card for "NaSC-TG2" ## Dataset Description

- Paper: NaSC-TG2: Natural scene classification with Tiangong-2 remotely sensed imagery ### Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template. ### Supported Tasks and Leaderboards ### Languages ## Dataset Structure ### Data Instances ### Data Fields ### Data Splits ## Dataset Creation ### Curation Rationale ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators ### Licensing Information

Public Domain



URL ### Contributions
passage: TAGS
#license-cc-by-nc-sa-4.0 #region-us 
# Dataset Card for "NaSC-TG2"## Dataset Description

- Paper: NaSC-TG2: Natural scene classification with Tiangong-2 remotely sensed imagery### Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.### Supported Tasks and Leaderboards### Languages## Dataset Structure### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information

Public Domain



URL### Contributions