How to use Interpretation API in case of multilabeled dataset

First of all, thanks for your help, I really appreciate it !

Here’s the information about the dataset.

Number of images:

  • training set: 580 images
  • validation set: 70 images

4

Both the training and validation images are contained in a single folder.

  • I’ve used a text file to identify the images of the validation set.

Labelling - I’ve tried to use the same labelling system as the one in the planet dataset:

  • a csv file, with 2 columns:
    • column 1: contains the images’ names
    • column 2: contains the labels

Capture

2

I’ve tried to rerun the training process and plotted the results: the model seem to have only predicted the expression

Let me know if you need anything else. Thanks again.

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