Datasets:
Update README.md
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README.md
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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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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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### Classes
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The dataset contains 19 classes:
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- 🍋 lemon - 8275 total spectral samples
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- 🍈 melon - 9507 total spectral samples
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- 🥒 cucumber - 227 total spectral samples
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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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### Classes
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The training dataset contains 19 classes:
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- 🍋 lemon - 8275 total spectral samples
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- 🍈 melon - 9507 total spectral samples
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- 🥒 cucumber - 227 total spectral samples
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