Added datasets

.gitattributes

@@ -53,3 +53,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+*.mat filter=lfs diff=lfs merge=lfs -text

CZ_hsdb/README.txt

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+Hyperspectral Image Database of Real-world Scenes
+- 27 Images under artificial or mixed illumination
+
+http://vision.seas.harvard.edu/hyperspec/
+
+This database contains a MATLAB .mat file for each image, with two
+variables:
+
+ref: NxMx31 - Image data for the 31 channels from 420:10:720 nm
+lbl: NxM    - Mask data, a value of 0 implies that the pixel is masked
+              out.
+
+There is a calib.txt file which contains a 31x1 vector, corresponding
+to sensitivity of the camera.
+
+This database is being released for unrestricted research and academic
+use. If you use this data in any publication, we ask that you cite the
+following paper:
+
+Ayan Chakrabarti and Todd Zickler, "Statistics of Real-World
+Hyperspectral Images," in Proceedings of the IEEE Conference on
+Computer Vision and Pattern Recognition (CVPR), 2011.
+
+@conference{chakrabarti2011statistics,
+  title={{Statistics of Real-World Hyperspectral Images}},
+  author={Chakrabarti, A. and Zickler, T.},
+  booktitle={Proc.~IEEE Conf.~on Computer Vision and Pattern Recognition (CVPR)},
+  pages={193--200},
+  year={2011}
+}
+
+For any questions, please contact:
+   Ayan Chakrabarti at [email protected]

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CZ_hsdbi/README.txt

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+Hyperspectral Image Database of Real-world Scenes
+- 50 Images in daylight illumination
+
+http://vision.seas.harvard.edu/hyperspec/
+
+This database contains a MATLAB .mat file for each image, with two
+variables:
+
+ref: NxMx31 - Image data for the 31 channels from 420:10:720 nm
+lbl: NxM    - Mask data, a value of 0 implies that the pixel is masked
+              out.
+
+There is a calib.txt file which contains a 31x1 vector, corresponding
+to sensitivity of the camera.
+
+This database is being released for unrestricted research and academic
+use. If you use this data in any publication, we ask that you cite the
+following paper:
+
+Ayan Chakrabarti and Todd Zickler, "Statistics of Real-World
+Hyperspectral Images," in Proceedings of the IEEE Conference on
+Computer Vision and Pattern Recognition (CVPR), 2011.
+
+@conference{chakrabarti2011statistics,
+  title={{Statistics of Real-World Hyperspectral Images}},
+  author={Chakrabarti, A. and Zickler, T.},
+  booktitle={Proc.~IEEE Conf.~on Computer Vision and Pattern Recognition (CVPR)},
+  pages={193--200},
+  year={2011}
+}
+
+For any questions, please contact:
+   Ayan Chakrabarti at [email protected]

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