I trained a model using google AutoML Vision and now I want to export it to use it locally, I tried this tutorial from Google official doc with no success.
Actually, in model list, when I click the three dots (more actions) there is no export option:
Even in the test & use page there is no option to export the model:
Thanks in advance,
First of all, the tutorial you are following is for AutoML tables and, although similar, is not exactly the same as for AutoML Vision.
For AutoML Vision you can train two types of models, Cloud hosted and Edge-exportable. As the name may infer, only the second ones can be exported.
Here you can see the documentation for exporting AutoML Vision Edge models.
My assumption is you have trained a Cloud hosted model which is not exportable.
There is currently a feature request opened to allow this behavior. You can find it here. If you would also be interested on it you can star it to keep updated about the progress.
Related
So I have been collecting data of numerous text-descriptions about articles, where as each description was structred differently. Now, I would have to "create" an algorithm, which sorts out the title of that article for me what is a hard task. I have come around Google ML natural language and it seems to be able to create one for me.
Unfortunately, I am not really able to exactly find out how I can use it,
so my question is... How precisely can I set it up ? And additionally, it would be helpful to know if firebase has such a service, since I am planning to build a firebase project.
Thanks in advance for any help !
Unfortunately models created using Google AutoML Natural Language are not exportable to Tensorflow lite (mobile models). Based from your use case you will need a model for text classification, the provided link has a sample of how this model work. You can follow this tutorial to train a custom model using the data that you have so it can identify if a title of a article is a hard task or not.
Once training is done you can now:
Deploy it in Firebase
Download the model in your device and perform testing.
You can find detailed instructions from training the model to testing it on your device for either iOS or android.
We are using the AutoML service in Google with highly trained models specific to our business. We are looking for a solution where we can train a model in a separate "training & testing" account, then somehow use or move that model into our production account.
Is this something that is possible? I.E. Export then import the model? Or some function built right into the platform where we can "move" a trained model from one account to another?
The reason for this, is we have a production budget for translation service usage, but the training of the model falls outside of that cost. We want to physically separate this activity in platform if possible.
Thanks.
According to the docs, you can export a model o export your custom model to Cloud Storage, download the model to your server, and then use Docker to make the model available for predictions.
After that, you have to download your exported model from Cloud Storage and start the Docker container, so your model is ready to receive prediction requests in another project.
https://cloud.google.com/automl-tables/docs/model-export
I've trained a video classification model using Google's video intelligence platform, I want to now download the model to predict on-prem for security purpose but I don't see anyway of exporting the model. Is there any way to do so?
I inform you that indeed you are right. As of today the AutoML Video Intelligence is on Beta and there is no way to export your model.
I would advise you to stay alert for the Release Notes to check for updates on the product.
The text transcription feature does. But the AutoML documentation doesn't list TIFF as a supported file type. Is that documentation outdated?
You mentioned two different products, the first link you shared is from Cloud Vision API which are pre-trained models and indeed supports TIFF files as is mentioned in the Support Images page. And the second link you mentioned belongs to AutoML Vision where you can train your own models and doesn't support TIFF files, the difference between products is mentioned in the "NOTE" section.
I want to be able to select similar images using Google Cloud Vision AI out of range of images that I provide.
It seems there is Web Detection feature allows to show similar images across the web but I want to search across user provided images or even just within a particular website (not across entire web).
Is this possible to do?
There is no built in feature that allows you to do that on the Google Cloud Vision API, but what you can do is fetch the URL of the matching images detected across the web and filter the ones you are interested in. You can follow this tutorial.
I hope that helps
You could try out Vision API's ProductSearch: https://cloud.google.com/vision/product-search/docs/
See this answer: https://stackoverflow.com/a/58402071/11201290