CZII - CryoET Object Identification Challenge - Simulated Training Data

Dataset Overview

This dataset is comprised of simulated tiltseries, tomograms and ground truth annotations for the purpose of training object identification algorithms in the context of the CryoET Object Identification Challenge. The data was simulated using polnet, and contains point labels and semantic masks for all 6 protein complexes included in the challenge dataset (Apo-ferritin, Beta-amylase, Beta-galactosidase, cytosolic ribosomes, thyroglobulin and VLP), as well as membranes.