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Updated on 9/11/2019
Brain Builder Knowledge Base
Exporting Segmentation Data
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In This Section:

Exporting Data

After you have annotated data in Brain Builder, you may want to export it so that you or someone else can use it to train a DNN. Brain Builder provides a number of Data Export options so that you can export exactly the data you want in the format you need.

  1. Start the export process from one of the following locations:

    • Dashboard — From the Dashboard, click the Menu button on the project you wish to export and select Export Project.
    • Project page — From the Project page, click the Export Project button next to the name of the project.
    • Dataset page — From the Dataset page, click the Export Dataset button next to the name of the dataset.
    • Exports page — Navigate to the Exports page from the User menu in the top-right corner, and click the + Export button at the top-right of the page.
  2. Select a framework.

    Neurala can export data in one of three formats. If you are unsure of which export format you need, consult the person or team who will be working with the data.

    • TensorFlow—The data is structured to work directly in the TensorFlow AI framework.
    • Caffe—The data is structured to work directly in the Caffe AI framework.
    • JSON—The data is exported in structured text format for easy adaptation to any purpose.
  3. Select an Export Type (for TensorFlow or Caffe exports).

    • Image Segmentation exports pixel-level masks showing where the objects have been tagged.
    • Object Detection exports rectangular bounding boxes.
  4. Select which project(s) you want to include in the export. Only images and classes included in these projects will be exported.

  5. Select which class(es) in the project you want to include in the export.

    Information

    Selecting the Customize my Palette box will give you the opportunity to further customize the way the classes are exported. It allows you to drag the classes to change their order in the export, including the indexed PNG masks, and to use the Alias field to combine multiple classes under the same new class label.

  6. Select the Export Options (for TensorFlow or Caffe exports).

    If you are unsure about which of these options to select for your project, consult with the person who will be using the data.

    • Mask Type — This allows you to generate one mask for each image (in which each class is a different color), or one mask per image per class.

    • Resize Images — Set a standard height and width for all images. Images and masks will be resized to these dimensions, which may result in a skewed appearance.

    • Include Images — Choose whether or not to export the images in this export.

    • Dataset Allocation — Define the percentage of images you want separated into the Training, Validation, and Test subsets. The default is 80/10/10, which is common among AI practices.

  7. Then, click Review and confirm that the Export Settings meet your expectations.

    Leave the checkbox selected if you want to receive an email when the export is ready to be downloaded.

So What Exactly Gets Exported?

For every frame, Brain Builder exports the relevant polygons that are shown on the Workspace.

For example, in the screenshot below, you can see a track on the timeline for every time you have run the video annotator. The tracks are displayed from most recent (top) to least recent (bottom). Brain Builder displays and exports the most recent (top) track on your timeline for any given frame. However, if ground truth is ever manually entered—i.e. a polygon is created manually by a human—then that polygon is what gets exported regardless of what tracks exist.

Next: Best Practices: Video Annotation >>