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This repository contains information about the multi-modal multi-label, wide area Earth Observation (EO) datasets collated during the [2023 Frontier Development Lab](https://fdleurope.org/fdl-europe-2023).
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It contains around 40 TB of co-aligned machine learning ready data tiles, spanning 9 EO datasets and 6 geographic regions. For ease of access, the dataset has been compressed as parquet files.
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For a smaller (uncompressed) version of our dataset, check out the [M3LEO miniset](https://huggingface.co/M3LEO-miniset)
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# Decompression
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If you need to decompress the files, please see the main README at [the github repo](https://github.com/spaceml-org/M3LEO/).</br>
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This repository contains information about the multi-modal multi-label, wide area Earth Observation (EO) datasets collated during the [2023 Frontier Development Lab](https://fdleurope.org/fdl-europe-2023).
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It contains around 40 TB of co-aligned machine learning ready data tiles, spanning 9 EO datasets and 6 geographic regions. For ease of access, the dataset has been compressed as parquet files.
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For a smaller (uncompressed) version of our dataset, check out the [M3LEO miniset](https://huggingface.co/M3LEO-miniset).</br>
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[PAPER](https://arxiv.org/abs/2406.04230v2) @ NeurIPS 2024 D&B track
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# Decompression
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If you need to decompress the files, please see the main README at [the github repo](https://github.com/spaceml-org/M3LEO/).</br>
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