Skip to content

Train your own AI Models

With Xailient Console, you can train custom AI models, which you can then deploy to your targeted devices.

To train any AI model, you will need training data.

Xailient Console comes with pre-loaded public datasets.

You can either use the pre-loaded datasets, upload your own dataset, or combine different datasets inorder to train your AI.

Select Dataset(s)

  1. To train an AI model, from the left menu, under AI Models click Add.

  2. Select dataset(s) by ticking the box(es). You can select a single or combine multiple (both public and private) datasets to train a model.

Select Class(es)

  1. Enter model name for your AI model.

  2. You can further select only specific subclasses within the (set of) datasets. A single model will train on the combined datasets and predict only those classes you have chosen here.

Select type of AI model

  1. Select the Cortical Function (Type of AI model you want to train)

    Learn more about the different types of AI models you can train on Xailient AI Console and specific training settings for these models.

    1. Selective Attention Network

    2. Multi Class Object Detector

    3. Image Classifier

    4. ANPR (License Plate Reader)

Begin Training

  1. Begin training by clicking BEGIN TRAINING.

View Training Status

To view the training status of your AI model, under AI Models click View, and find your model under Training Models. Once the training is completed, you will get an email notification regarding it.

Deploy your AI

When the training is complete, you can build an SDK and install it on the targeted device. For more details on how to build an SDK, refer to Build Deployable SDK section of the documentation

For instructions on how to setup your device, install the SDK and run it, please refer to Deploy You AI section of the documentation.

If your local machines doesn't meet the requirements for native installation we also offer Docker Containers as a deployment option.