Datasets › CytoImageNet
CytoImageNet (CytoImageNet: A large-scale pretraining dataset for bioimage transfer learning)
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.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- CytoImageNet
1 variant name, as the archive lists them.
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