Dataset Viewer
The dataset viewer is not available for this dataset.
The JWT signature verification failed. Check the signing key and the algorithm.
Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
✨ PanCollection
🤗 To get started with PanCollection benchmark (training, inference, etc.), we recommend reading Google Colab!
Recommendations
We recommend users to use the code-toolbox DLPan-Toolbox + the dataset PanCollection for fair training and testing!
Deploy
PanCollection has provided complete packages.
pip install pancollection --upgrade
How to Get Started with the Model
import pancollection as pan
cfg = pan.TaskDispatcher.new(task='pansharpening', mode='entrypoint', arch='FusionNet',
dataset_name="gf2", use_resume=False,
dataset={'train': 'gf2', 'test': 'test_gf2_multiExm1.h5'})
print(pan.TaskDispatcher._task)
pan.trainer.main(cfg, pan.build_model, pan.getDataSession)
Training Details
See Google Colab for quick start.
See Github Project for coding details.
Evaluation
See the Leaderboard for model results.
See the PanCollection Paper for early results.
| Satellite | Value | Comment |
|---|---|---|
| WorldView-3 | 2047 | |
| QuickBird | 2047 | |
| GaoFen-2 | 1023 | |
| WorldView-2 | 2047 |
Citation
To learn more about the PanCollection dataset, see the Github Pages.
@ARTICLE{dengjig2022,
author={邓良剑，冉燃，吴潇，张添敬},
journal={中国图象图形学报},
title={遥感图像全色锐化的卷积神经网络方法研究进展},
year={2022},
volume={},
number={9},
pages={},
doi={10.11834/jig.220540}
}
@ARTICLE{deng2022vivone,
author={L. -J. Deng, G. Vivone, M. E. Paoletti, G. Scarpa, J. He, Y. Zhang, J. Chanussot, and A. Plaza},
journal={IEEE Geoscience and Remote Sensing Magazine},
title={Machine Learning in Pansharpening: A Benchmark, from Shallow to Deep Networks},
year={2022},
volume={10},
number={3},
pages={279-315},
doi={10.1109/MGRS.2022.3187652}
}
License
PanCollection is made available under the GPLv2.0 license.
Contact
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