.. _vision__index:

======
Vision
======

Deepchecks vision sub package contain a large variety of checks and suites for different use cases.
It provides build-in support for PyTorch, TensorFlow, and custom frameworks.
Jump over to the :ref:`vision__quickstarts` in the Tutorials section to get started, 
or visit the :ref:`getting-started__installation` for a full 
guide about how to set up your environment.

.. _vision__index_tutorials:

Tutorials
---------

This section contain tutorials for different use cases, and how to use deepchecks in your workflow.

.. toctree::
    :maxdepth: 1
    :caption: Tutorials

    auto_tutorials/quickstarts/index
    auto_tutorials/other/plot_custom_task_tutorial
    auto_tutorials/other/plot_custom_checks
    custom_check_templates

Usage Guides
------------

This section contain in-depth guides on different aspects and components of the deepchecks vision sub package.

.. toctree::
    :titlesonly:
    :maxdepth: 0
    :caption: Usage Guides

    usage_guides/visiondata_object
    usage_guides/supported_tasks_and_formats
    usage_guides/vision_properties

.. _vision__checks_gallery:

Checks Gallery
--------------

Below in the full list of checks and suites available in the deepchecks vision sub package.

.. toctree::
    :maxdepth: 1
    :caption: Checks Gallery

    auto_checks/data_integrity/index
    auto_checks/train_test_validation/index
    auto_checks/model_evaluation/index