Counts

## [1] "# train imgs: 65000"

## [1] "# test imgs: 12500"

## [1] "# validation imgs: 12500"

Class frequencies

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Well counts per class

Each well has four 2-channel images.

label count_train count_test count_val
cell periphery 27 7 4
cytoplasm 499 108 100
endosome 7 2 2
er 92 29 25
golgi 8 2 1
mitochondrion 198 45 58
nuclear periphery 22 5 5
nucleolus 39 7 6
nucleus 283 69 62
peroxisome 7 1 1
spindle pole 21 2 5
vacuole 21 5 8

Sanity check for class overlap

## [1] "# test imgs in training set: 0"

## [1] "# val imgs in training set: 0"

## [1] "# test imgs in validation set: 0"

Class examples (from training set)

## [1] "cell periphery"

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## [1] "cytoplasm"

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## [1] "endosome"

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## [1] "er"

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## [1] "golgi"

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## [1] "mitochondrion"

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## [1] "nuclear periphery"

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## [1] "nucleolus"

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## [1] "nucleus"

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## [1] "peroxisome"

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## [1] "spindle pole"

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## [1] "vacuole"

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Scaled class examples (from training set)

## [1] "cell periphery"

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## [1] "cytoplasm"

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## [1] "endosome"

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## [1] "er"

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## [1] "golgi"

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## [1] "mitochondrion"

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## [1] "nuclear periphery"

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## [1] "nucleolus"

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## [1] "nucleus"

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## [1] "peroxisome"

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## [1] "spindle pole"

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## [1] "vacuole"

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