Datasets:
ArXiv:
License:
license: other | |
license_name: functional-map-of-the-world-challenge-public-license | |
license_link: https://github.com/fMoW/dataset/blob/035ab5e6265ba5f58549337ca5873ca7260c06a4/LICENSE | |
# fMoW-RGB-baseline | |
This dataset is a preprocessed version of the [Functional Map of the Word (fMoW)](https://github.com/fmow/dataset) dataset. | |
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). | |
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). | |
## Data format | |
Images are provided in JPEG format. | |
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". Metadata keys are best documented in the [fMoW paper](https://arxiv.org/abs/1711.07846) - Appendix I. | |
## Data splits | |
The dataset splits are identical to the original fMoW splits. | |
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. | |
## Attribution | |
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. | |
## Licence | |
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). | |