|
--- |
|
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. |
|
```latex |
|
@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 |
