Import Labeled Data from vott to Google Cloud AutoML

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I want to go ahead and create a classifier, I and I do not like the Google's Browser Labeling Service. Is there a tool similar to vott or some code, that I can use to go ahead and import my vott labeled data and import it Google AutoML.

The Google Labeling Service looks something like this and is very slow in loading images and inefficient it literally has a white labeling cursor and I have light background in my images

As seen in the Image Here. Google Label

On the Other Hand can I import it using vott which is much more better in every way. So is there a way for me to do this using vott to import the labeled csv into Google's Cloud AutoML.

Vott

google-cloud-automl labeling google-cloud-platform
1 Answers

I don't think that it is currently possible to import already labeled data from other apps (like VOTT).

At the moment there are 3 ways to label images in Cloud Vision. It's described in the Annotating imported training images

  • Provide bounding boxes with labels for your training images via labeled bounding boxes in your .csv import file

In the CSV file you would need to provide GCS url and label/labels

Labeled: gs://my-storage-bucket-vcm/flowers/images/img100.jpg,daisy

Multi-label: gs://my-storage-bucket-vcm/flowers/images/img384.jpg,dandelion,tulip,rose

Assigned to a set: TEST,gs://my-storage-bucket-vcm/flowers/images/img805.jpg,daisy

More details can be found here.

  • Provide unannotated images in your .csv import file and use the UI to provide image annotations

Not labeled: gs://my-storage-bucket-vcm/flowers/images/img403.jpg

However, later you will need to label it using UI, otherwise it will be ignored.

AutoML Vision ignores items without a category label.

This option would include human labelers and would need to provide additional information like dataset, label set and instructions for people.

In the documentation you can also find information that currently API is not supporting any method for labeling.

The AutoML API does not currently include methods for labeling.

However, you can propose Feature Request via IssueTracker to add some additional import methods from different apps or enable the use API.

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