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README.md
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license: other
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license_name: functional-map-of-the-world-challenge-public-license
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license_link: https://github.com/fMoW/dataset/
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---
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license: other
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license_name: functional-map-of-the-world-challenge-public-license
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license_link: https://github.com/fMoW/dataset/blob/035ab5e6265ba5f58549337ca5873ca7260c06a4/LICENSE
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# fMoW-RGB-baseline
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This dataset is a preprocessed version of the [Functional Map of the Word (fMoW)](https://github.com/fmow/dataset) dataset.
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The fMoW-RGB dataset version was preprocessed strictly following the [official baseline code](https://github.com/fMoW/baseline/blob/26a59edde8f3a30af50df95c1ceb37f80f70d5ec/code/data_ml_functions/dataFunctions.py).
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In short, original images are cropped according to their AOIs, and resized to 224×224 pixels JPEGs. Associated to the images, we provide metadata JSON files with some fields processed such that they match the cropped-resized images (such as ground sampling distance and the geographic boundaries).
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## Data format
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Images are provided in JPEG format and stored in the `input/train_data/` directory, divided between train and validation. We do not supply the fMoW test data.
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The JSON metadata file format follow the original data. For metadata fields whose value is different from the original, the original key-values are kept under the field named "orig".
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## Data splits
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The dataset splits are identical to the original fMoW splits.
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Text files for the different splits are available in the `splits` directory. Each row contain the path to an image and it's associated metadata file.
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## Attribution
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The fMoW dataset was proposed in Christie, Gordon, et al. "Functional Map of the World." Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018. https://doi.org/10.1109/CVPR.2018.00646.
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## Licence
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This dataset is adapted material from the fMoW dataset, and is licensed under the same terms, namely the [FUNCTIONAL MAP OF THE WORLD CHALLENGE PUBLIC LICENSE](https://github.com/fMoW/dataset/blob/035ab5e6265ba5f58549337ca5873ca7260c06a4/LICENSE).
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