This zip file contains 1,592,753 heterogeneous, information-rich, non-redundant unlabeled 2D cellular EM (hence CEM1.5M) images, divided into 651 subdirectories (each directory being a unique vEM or EM image set). The image patches are mostly 224 x 224 pixels, however some are 512 x 512, and some are smaller. The raw image data was curated for deep learning largely following Conrad and Narayan, eLife 2021. https://elifesciences.org/articles/65894
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Archives and downloads the selected files into an uncompressed zip file.
Depending on the number and size of files to be downloaded, this can take an enormous amount of time.
Also, this feature is unstable and may not work properly, and checksums of downloaded files are not verified.
We recommend using rsync, aspera, globus, etc.
Download a list of selected files.
It is possible to download files by specifying the file list with rsync command, etc.
