BraggNN: Validation Dataset

# BraggNN Validation Dataset This dataset contains `13799` samples from the training dataset, and is used to evaluate, and provide metrics for, the models that were trained on the larger training dataset. ## Data The data are located in the `/data` folder, and store the collected peaks and frames. There are two datasets in the hdf5 file: - `Patch`: input to the BraggNN model. It is a 3D array where its first dimension is the index of samples, i.e., 13799. The second and third dimension are the height and width of the patch/peak respectively. - `ploc`: the peak location for each of the 13799 peaks, i.e., label of the dataset. ## Code ** Important ** To run the DLHub versions of these models using GPU resources, users must first request access to the following Globus group: https://app.globus.org/groups/d0b13474-c265-11ec-9444-51db4d10f5bd/about Notebooks are provided in the `code-examples` folder to showcase how to load the datasets and run the PyTorch, TRT, and SambaNova models.