Counts

## [1] "# train imgs: 4000"

## [1] "# test imgs: 4000"

## [1] "# validation imgs: 2000"

Class frequencies

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Well counts per class

Each well has four 2-channel images.

label count_train count_test count_val
actin 6 15 4
bud neck 7 4 4
lipid particle 11 4 4
microtubule 4 4 2

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] "actin"

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## [1] "bud neck"

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## [1] "lipid particle"

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## [1] "microtubule"

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Scaled class examples (from training set)

## [1] "actin"

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## [1] "bud neck"

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## [1] "lipid particle"

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## [1] "microtubule"

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