Image Classification

Image classification is a model that trains a model with images classified by category to predict which image belongs to which category. Unlike object recognition, you can predict one category of an image rather than predicting multiple categories of an image.

Training a Image Classification Model

1. Training a Model Training Project

If new data is utilized, upload the data from the dataset. (For more information, see Dataset > Upload Data.)

  1. Click a Dataset from the top menu, or click Training from the top menu and click the New Project button on the center-left side of the screen.

  2. Check to the left of the dataset to be used for training and click the Start AI Modeling button.

2. Setting Up the Model Training Options

  1. Sets the Training Method to Image Classification.

  2. Sets the Preferred Method

  3. Set other options for model training. (For more information, see Training > Training the Model > Model Training Options.)

3. Starting Model Training

  1. Click the START button on the right to start training the model with the options setted up.

  2. E-mail and notification will be sent when the initial model training is complete, and e-mail and notification will be sent once more when all models in the project have completed training.

Do you have any other questions? [email protected]

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