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Image Recognition

Use Image Recognition to build a machine learning model that can classify images by group. You can use your own data and labels to train a new model, or you can use one of the pre-trained models we provide.

Important

This tool is part of Alteryx Intelligence Suite. Intelligence Suite requires a separate license and add-on installer to Designer. After you install Designer, install Intelligence Suite and start your free trial.

Tool Components

Image Recognition has 5 anchors (2 inputs and 3 outputs):

  • T anchor: Use this anchor to input the data you want to use for training.
  • V anchor: Use this anchor to input the data you want to use for validation.
  • M anchor: Use this anchor to pass the model you've built downstream.
  • E output anchor: Use the E output anchor to view model evaluation metrics. Metrics include information on the precision, recall, and accuracy of each classification label.
  • R output anchor: Connect the R output anchor to a Browse Tool to view the model report. The report includes plots of accuracy and loss after each epoch. Use these plots to visualize if the tool sufficiently trained the model

Important

The images you pass into Image Recognition must be in BLOB file format.

Configure the Tool

To use this tool...

  1. Drag the tool onto the canvas.
  2. Connect to upstream data with images you want to train your model to recognize.
  3. Input your Training Images by specifying the Image Field and Image Labels.
  4. Input your Validation Images by specifying the Image Field and Image Labels.
  5. Run the workflow.

Options