This is a collection of AI/Machine Learning datasets from the BioImage Archive from which one or more images have been converted to OME-Zarr. It is intended to present the AI-ready datasets with relevant tags and visualisation of images from the archive's collection, and to provide easy access to AI datasets and encourage tool development.
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Live widefield images of zebrafish embryo with segmentation masks and class labels for temporal development
1142 images , 1062 annotations
Tags:
segmentation masks, class labels, time series
3D zebrafish embryo images with single-cell segmentation and point cloud-based morphometry
584 images , 196 annotations
Tags:
segmentation masks, 3D
Fluorescence images and geometrical annotations and classification of high endothelial venules (HEVs) in tumor-draining lymph nodes
1285 images , 729 annotations
Tags:
geometrical annotations, weak annotations, bounding boxes, class labels
Ground-truth annotated fluorescence image dataset for training nuclear segmentation methods
388 images , 388 annotations
Tags:
segmentation masks, ground truth annotations
Ultrasound images of mouse embryos with body and brain volume segmentation masks
693 images , 451 annotations
Tags:
segmentation masks, ground truth annotations
Multi-channel fluorescence images and ground truth annotations of Myelin in mice
25 images , 5 annotations
Tags:
segmentation masks, ground truth annotations
Segmentation masks of individual cells in Drosophila wing discs
8 images , 4 annotations
Tags:
segmentation masks, 3D