nebulae / README.md
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metadata
license: mit
size_categories:
  - 1K<n<10K
task_categories:
  - image-classification
  - unconditional-image-generation
tags:
  - art
dataset_info:
  features:
    - name: image
      dtype: image
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 231422952.272
      num_examples: 1657
  download_size: 265734005
  dataset_size: 231422952.272
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Nebula Image Dataset

Overview

This dataset contains a collection of images depicting various types of nebulas. Nebulas are large, diffuse astronomical objects composed of ionized gases, dust, and plasma. They are often found near star-forming regions and are an important part of the life cycle of stars.

Dataset Description

The dataset includes about one hundred high-resolution images of different nebulas, such as emission nebulas, reflection nebulas, and planetary nebulas. The images were collected from public astronomical sources and have been carefully curated to ensure high quality and diversity.

Data Format

The dataset is stored in the Parquet file format, which is a columnar data format that provides efficient storage and query performance. The Parquet file contains a single column, train, which holds the file paths to the individual nebula images.

Usage

You can use this dataset for a variety of machine learning and computer vision tasks, such as:

  • Nebula classification
  • Nebula segmentation
  • Nebula generation or synthesis
  • Astronomical image processing and analysis

To get started, cite the datasets section.

License

This dataset is licensed under the MIT License. You are free to use, modify, and distribute the data as long as you provide attribution.

Datasets

from datasets import load_dataset

config.dataset_name = "nroggendorff/nebulae"
dataset = load_dataset(config.dataset_name, split="image")

Acknowledgements

The images in this dataset were collected from various public astronomical sources. We would like to thank the astronomers and organizations who have contributed to the advancement of our understanding of nebulas and other celestial phenomena.