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