Our deep learning model training platform is specifically designed to build models for our machines. It empowers customers to continuously improve detection capabilities by incorporating new defect samples over time. The platform simplifies the process—users can easily upload and label images, train a model, and deploy it back to the machine without needing to configure complex parameters.
A list of defect types is provided based on the machine type. Users can select the appropriate defect and simply draw boxes around the defect area for labeling.
Pre-configured, customized training settings are automatically applied based on the uploaded data. This allows users to train models without requiring deep learning expertise.
The platform automatically generates the necessary machine parameters. Users can download and deploy the model back to the machine with a single click.
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