Published July 30, 2022
| Version v1
Dataset
Open
Neural network training sets
Authors/Creators
- 1. Laboratory of Structural Biophysics and Mechanobiology, The Rockefeller University
- 2. Laboratory of Structural Biophysics and Mechanobiology, The Rockefeller University; Tri-Institutional Program in Chemical Biology, The Rockefeller University
Description
This dataset contains the synthetically generated particle image datasets used to train a denoising autoencoder (DAE_synthetic_dataset.zip) and a fully convolutional network for semantic segmentation (semanticSegmentation_synthetic_dataset.zip). The necessary models and maps used to generate the dataset are included in synthetic_volumes_and_pdbs.zip. Lastly, the trained neural networks are included in trained_neural_networks.zip.