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| Metric | Macro | Micro |
|---|---|---|
| Average Precision | 0.610632 | 0.804239 |
| F1 Score | 0.556231 | 0.703160 |
| Precision | 0.633313 | 0.765481 |
| A Sentinel-1 image (VV, VH and VV/VH bands are used for visualization) |
|---|
 |
| Class labels | Predicted scores |
|---|---|
Agro-forestry areas Arable land Beaches, dunes, sands ... Urban fabric | 0.000000 0.000000 0.000000 ... 0.000000 |
configilm to use the provided code.1from reben_publication.BigEarthNetv2_0_ImageClassifier import BigEarthNetv2_0_ImageClassifier
2
3model = BigEarthNetv2_0_ImageClassifier.from_pretrained("path_to/huggingface_model_folder")1from reben_publication.BigEarthNetv2_0_ImageClassifier import BigEarthNetv2_0_ImageClassifier
2
3model = BigEarthNetv2_0_ImageClassifier.from_pretrained(
4 "BIFOLD-BigEarthNetv2-0/mobilenetv4_hybrid_medium-s1-v0.1.1")1@article{clasen2024refinedbigearthnet,
2 title={reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis},
3 author={Clasen, Kai Norman and Hackel, Leonard and Burgert, Tom and Sumbul, Gencer and Demir, Beg{\"u}m and Markl, Volker},
4 year={2024},
5 eprint={2407.03653},
6 archivePrefix={arXiv},
7 primaryClass={cs.CV},
8 url={https://arxiv.org/abs/2407.03653},
9}1@article{hackel2024configilm,
2 title={ConfigILM: A general purpose configurable library for combining image and language models for visual question answering},
3 author={Hackel, Leonard and Clasen, Kai Norman and Demir, Beg{\"u}m},
4 journal={SoftwareX},
5 volume={26},
6 pages={101731},
7 year={2024},
8 publisher={Elsevier}
9}