CytoImageNet

홈페이지 · 논문 2편

CytoImageNet is a large-scale pretraining dataset of microscopy images (890K, 894 classes). In the paper, CytoImageNet pretraining yielded features competitive to and different from ImageNet pretrained features on downstream microscopy tasks. * It was constructed from 40 openly available microscopy datasets. * Weak labels (from experimental metadata) were assigned to each image in the dataset. * Images are of varying sizes. The primary purpose of the dataset is to be used for pretraining as a pretext task for learning useful bioimage representations. However, it may be used for validation or exploratory analysis.