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@@ -23,7 +23,7 @@ The data consists of RGB images, sparse spectral samples and instance segmentati
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  From the 100 images, we extract >430,000 spectral samples, of which >85,000 belong to one of the 19 classes in the dataset. The rest of the spectra can be used for negative sampling when training classifiers.
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- An additional 13 labelled images are provided as a validation set.
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  Additionally, we provide a set of demo videos in `.lo` format which are unannotated but which can be used to qualititively test algorithms built on this dataset.
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  From the 100 images, we extract >430,000 spectral samples, of which >85,000 belong to one of the 19 classes in the dataset. The rest of the spectra can be used for negative sampling when training classifiers.
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+ An additional 11 labelled images are provided as a validation set.
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  Additionally, we provide a set of demo videos in `.lo` format which are unannotated but which can be used to qualititively test algorithms built on this dataset.
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