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I've created a custom dataset, why can't I use it for my analysis?

The dataset needs to be trained into an AI model before it can be used!

To use your custom dataset for analysis, you first need to train an AI model based on that dataset.
Once trained, this AI model can be selected for use in your analysis settings.

How to train a custom AI model?

There are two ways to start face training on a custom model:

  • If you are in the "Dataset" view: Select the dataset you want to train, click "Train", and provide the necessary information.
  • If you are in the "AI Models" view: Click on "Start Training", enter the necessary information and select a dataset to use as training examples for this model.

When creating a new Model you are asked the following informations:

  • Model Name: Name of this Model
  • Model Type: Speaker Identification, Face Recognition, Logo Recognition , Landmark Recognition.
  • Model Description: User-defined text to describe the model.

How use the custom AI Model?

Once the model has been successfully trained, it will appear as an option in the "Model" drop-down menu when configuring the Deep Media Analyzer module.