Create an image dataset for vector output

Create a dataset from images for vector output.

1. From the cluster management console, select Workload > Spark > Deep Learning.
2. Select the Datasets tab.
3. Click New.
4. Create a dataset from Images for Vector Output.
5. Provide a dataset name.
6. Specify a Spark instance group.
7. Specify how the training images are selected from one of the following choices.
   • Specify percentages of training images. For this choice, provide the following.
     1. Provide the percentage of images for validation.
     2. Provide the percentage of images for testing.
   • Specify folder locations. For this choice, provide the following.
     1. Provide a validation folder.
     2. Provide a testing folder.
8. Specify a TensorFlow model graph.
   The graph must be a .pb file.
9. Specify the data input tensor name.
10. Specify the vector output tensor name.
11. Click Create.