Datasets:

LivingOptics
/

hyperspectral-fruit

Tasks:

Image Segmentation

Image Classification

Modalities:

Formats:

Languages:

Size:

Tags:

sub-class classification

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License:

Dataset card Viewer Files Files and versions Community

Eli-S commited on Jul 30

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005e1c3

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@@ -23,7 +23,7 @@ The data consists of RGB images, sparse spectral samples and instance segmentati
 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.
-An additional 13, labelled images are provided as a validation set.
 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.

 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.
+An additional 13 labelled images are provided as a validation set.
 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.