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--- |
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license: cc-by-4.0 |
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dataset_info: |
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features: |
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- name: height |
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dtype: int64 |
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- name: width |
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dtype: int64 |
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- name: fold |
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dtype: string |
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- name: raster_name |
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dtype: string |
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- name: location |
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dtype: string |
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- name: image |
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dtype: image |
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- name: tile_name |
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dtype: string |
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- name: annotations |
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struct: |
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- name: bbox |
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sequence: |
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sequence: float64 |
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- name: segmentation |
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list: |
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- name: size |
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sequence: int64 |
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- name: counts |
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dtype: string |
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- name: area |
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sequence: float64 |
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- name: iscrowd |
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sequence: int64 |
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- name: category |
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sequence: string |
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- name: tile_metadata |
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struct: |
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- name: crs |
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dtype: string |
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|
- name: transform |
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sequence: float64 |
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- name: bounds |
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sequence: float64 |
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|
- name: width |
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dtype: int64 |
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|
- name: height |
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|
dtype: int64 |
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- name: count |
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dtype: int64 |
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- name: dtypes |
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sequence: string |
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- name: nodata |
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dtype: float64 |
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splits: |
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- name: train |
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num_bytes: 20391637707.032 |
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num_examples: 3024 |
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- name: validation |
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num_bytes: 7625013527.68 |
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num_examples: 4010 |
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- name: test |
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num_bytes: 4356885937.825 |
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num_examples: 2527 |
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download_size: 32100668277 |
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dataset_size: 32373537172.537003 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
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--- |
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## Preprocessed OAM-TCD Dataset |
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This version of the OAM-TCD dataset has been pre-processed for use in our SelvaBox paper. |
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### Citation |
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If you use this dataset, please cite the original paper too: |
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```bibtex |
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@inproceedings{NEURIPS2024_58efdd77, |
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author = {Veitch-Michaelis, Josh and Cottam, Andrew and Schweizer, Daniella and Broadbent, Eben and Dao, David and Zhang, Ce and Almeyda Zambrano, Angelica and Max, Simeon}, |
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booktitle = {Advances in Neural Information Processing Systems}, |
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editor = {A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang}, |
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pages = {49749--49767}, |
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publisher = {Curran Associates, Inc.}, |
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title = {OAM-TCD: A globally diverse dataset of high-resolution tree cover maps}, |
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url = {https://proceedings.neurips.cc/paper_files/paper/2024/file/58efdd77196fa8159062afa0408245da-Paper-Datasets_and_Benchmarks_Track.pdf}, |
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volume = {37}, |
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year = {2024}, |
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bdsk-url-1 = {https://proceedings.neurips.cc/paper_files/paper/2024/file/58efdd77196fa8159062afa0408245da-Paper-Datasets_and_Benchmarks_Track.pdf} |
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} |
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``` |
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