license: cc-by-4.0
task_categories:
- text-to-image
language:
- en
tags:
- climate
size_categories:
- 100K<n<1M
Dataset Card for LAION-EO
Dataset Description
- Point of Contact: Mikolaj Czerkawski, [email protected]
Dataset Summary
This dataset contains a subset of LAION-5B containing images that are likely to be satellite images. The procedure of acquiring and filtering the dataset has been described in https://arxiv.org/abs/2309.15535.
Version | Number of Samples |
---|---|
0 | 24,933 |
1 | 112,985 |
Dataset Structure
Each version of the dataset contains a .csv file with metadata with urls to images, which can be easily filtered. Note that the linked images could be copyrighted.
Data Fields
Field | Description |
---|---|
source | Index of the anchor sample |
url | Link to the image |
filename | Locally saved unique filename |
id | Original ID |
fast_similarity | Fast similarity to the anchor image computed with https://github.com/rom1504/clip-retrieval |
caption | Text caption |
image_similarity | CLIP similarity to the original anchor image |
text_similarity | CLIP similarity to the text "a satellite image" |
height | height of the image at url |
width | Width of the image at url |
lang | Language predicted using https://huggingface.co/papluca/xlm-roberta-base-language-detection |
lang_score | A measure of confidence in the predicted language |
Example Samples
Data Splits
No official splitting of the dataset is used.
Dataset Creation
The creation of the prototype version is described in https://arxiv.org/abs/2309.15535.
Curation Rationale
Extraction of samples in LAION-5B relevant to Earth observation tasks.
Source Data
Samples from the existing LAION-5B dataset (https://laion.ai/blog/laion-5b/).
Discussion of Biases
Only contains satellite images openly uploaded online, which introduces a heavy bias towards satellite images used for communicating ideas on the internet.
Citation Information
The workshop paper presented at the DataComp workshop during ICCV 2023 is available at https://arxiv.org/abs/2309.15535.
@inproceedings{LAION_EO,
title={From LAION-5B to LAION-EO: Filtering Billions of Images Using Anchor Datasets for Satellite Image Extraction},
author={Mikolaj Czerkawski and Alistair Francis},
year={2023},
eprint={2309.15535},
archivePrefix={arXiv},
primaryClass={cs.CV}
booktitle = {"Towards the Next Generation of Computer Vision Datasets: DataComp Track" Workshop at the IEEE/CVF International Conference on Computer Vision (ICCV)}
}
License
We distribute the metadata dataset (the parquet files) under the Creative Common CC-BY 4.0 license, which poses no particular restriction. The images are under their copyright.
Contributions
Design and Curation: Mikolaj Czerkawski