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Midv260 Verified ((top)) -

The application serves as a "relying party" tool, meaning it allows an organization to verify that a digital ID presented on a user's smartphone is legitimate and hasn't been tampered with.

# Define the model architecture class Net(nn.Module): def __init__(self): super(Net, self).__init__() self.conv1 = nn.Conv2d(3, 6, 5) self.pool = nn.MaxPool2d(2, 2) self.conv2 = nn.Conv2d(6, 16, 5) self.fc1 = nn.Linear(16 * 5 * 5, 120) self.fc2 = nn.Linear(120, 84) self.fc3 = nn.Linear(84, 10)
  1. "Verified" – To verify the existence and details of this paper, you can search for it on Google Scholar, DBLP, or SPIE Digital Library using the title above.
  2. Full paper access – The paper is behind a paywall on the SPIE website, but a preprint may be available on arXiv or institutional repositories (search "MIDV-260 dataset").
  3. Dataset access – The dataset itself is publicly available for research purposes (typically from the Smart Engines or ICS RAS websites).

4. Technical Implementation Guide

If you are a developer training a model on MIDV-260, here is the standard workflow: midv260 verified

and "verified" ground truth data. Researchers use these verified samples to test how well an algorithm can: Locate Documents The application serves as a "relying party" tool,