Is it possible to do personal instance segmentation and use the obtained network from the Google API Vision...
I can't find those information on the Google API Vision documentation:
- Is it possible to create my whole mask R-CNN network and train it with my own images to do instance segmentation with this API? (not generic images)
- In addition, do I own the obtained network (and data)? And can I use it outside the cloud (onboard system for example)?
Thank to you if you know the answer.
google-cloud-platform google-cloud-vision asked Nov 20 '18 at 10:43
François ROSTKER
204
add a comment |
I can't find those information on the Google API Vision documentation:
- Is it possible to create my whole mask R-CNN network and train it with my own images to do instance segmentation with this API? (not generic images)
- In addition, do I own the obtained network (and data)? And can I use it outside the cloud (onboard system for example)?
Thank to you if you know the answer.
google-cloud-platform google-cloud-vision asked Nov 20 '18 at 10:43
François ROSTKER
204
add a comment |
I can't find those information on the Google API Vision documentation:
- Is it possible to create my whole mask R-CNN network and train it with my own images to do instance segmentation with this API? (not generic images)
- In addition, do I own the obtained network (and data)? And can I use it outside the cloud (onboard system for example)?
Thank to you if you know the answer.
google-cloud-platform google-cloud-vision asked Nov 20 '18 at 10:43
François ROSTKER
204
I can't find those information on the Google API Vision documentation:
- Is it possible to create my whole mask R-CNN network and train it with my own images to do instance segmentation with this API? (not generic images)
- In addition, do I own the obtained network (and data)? And can I use it outside the cloud (onboard system for example)?
Thank to you if you know the answer.
google-cloud-platform google-cloud-vision google-cloud-platform google-cloud-vision asked Nov 20 '18 at 10:43
François ROSTKER
204
asked Nov 20 '18 at 10:43
François ROSTKER
204
asked Nov 20 '18 at 10:43
François ROSTKER
204
asked Nov 20 '18 at 10:43
François ROSTKER
204
asked Nov 20 '18 at 10:43
François ROSTKER
204
204
add a comment |
add a comment |
1 Answer
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The Google Cloud Vision API allows users to classify images into categories, appropriate for multiple common use cases and it has a pre-built, pre-trained machine-learning model. So Google Vision API will not allow you to create your own R-CNN networking.
As you have more specialized requirements and need to create your own R-CNN networking, you should try instead using the Google Cloud Machine Learning Engine(Cloud ML), the managed service for building and running machine-learning models at scale using one of TensorFlow, scikit-learn and XGBoost deep-learning framework on Google Cloud.
Models trained using Cloud ML Engine can be downloaded for local execution or mobile integration.
answered Nov 22 '18 at 18:08
Adla
262
Thank you for your answer!
– François ROSTKER
Nov 23 '18 at 10:12
add a comment |
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1 Answer
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1 Answer
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The Google Cloud Vision API allows users to classify images into categories, appropriate for multiple common use cases and it has a pre-built, pre-trained machine-learning model. So Google Vision API will not allow you to create your own R-CNN networking.
As you have more specialized requirements and need to create your own R-CNN networking, you should try instead using the Google Cloud Machine Learning Engine(Cloud ML), the managed service for building and running machine-learning models at scale using one of TensorFlow, scikit-learn and XGBoost deep-learning framework on Google Cloud.
Models trained using Cloud ML Engine can be downloaded for local execution or mobile integration.
answered Nov 22 '18 at 18:08
Adla
262
Thank you for your answer!
– François ROSTKER
Nov 23 '18 at 10:12
add a comment |
The Google Cloud Vision API allows users to classify images into categories, appropriate for multiple common use cases and it has a pre-built, pre-trained machine-learning model. So Google Vision API will not allow you to create your own R-CNN networking.
As you have more specialized requirements and need to create your own R-CNN networking, you should try instead using the Google Cloud Machine Learning Engine(Cloud ML), the managed service for building and running machine-learning models at scale using one of TensorFlow, scikit-learn and XGBoost deep-learning framework on Google Cloud.
Models trained using Cloud ML Engine can be downloaded for local execution or mobile integration.
answered Nov 22 '18 at 18:08
Adla
262
Thank you for your answer!
– François ROSTKER
Nov 23 '18 at 10:12
add a comment |
The Google Cloud Vision API allows users to classify images into categories, appropriate for multiple common use cases and it has a pre-built, pre-trained machine-learning model. So Google Vision API will not allow you to create your own R-CNN networking.
As you have more specialized requirements and need to create your own R-CNN networking, you should try instead using the Google Cloud Machine Learning Engine(Cloud ML), the managed service for building and running machine-learning models at scale using one of TensorFlow, scikit-learn and XGBoost deep-learning framework on Google Cloud.
Models trained using Cloud ML Engine can be downloaded for local execution or mobile integration.
answered Nov 22 '18 at 18:08
Adla
262
The Google Cloud Vision API allows users to classify images into categories, appropriate for multiple common use cases and it has a pre-built, pre-trained machine-learning model. So Google Vision API will not allow you to create your own R-CNN networking.
As you have more specialized requirements and need to create your own R-CNN networking, you should try instead using the Google Cloud Machine Learning Engine(Cloud ML), the managed service for building and running machine-learning models at scale using one of TensorFlow, scikit-learn and XGBoost deep-learning framework on Google Cloud.
Models trained using Cloud ML Engine can be downloaded for local execution or mobile integration.
answered Nov 22 '18 at 18:08
Adla
262
answered Nov 22 '18 at 18:08
Adla
262
answered Nov 22 '18 at 18:08
Adla
262
answered Nov 22 '18 at 18:08
Adla
262
262
Thank you for your answer!
– François ROSTKER
Nov 23 '18 at 10:12
add a comment |
Thank you for your answer!
– François ROSTKER
Nov 23 '18 at 10:12
Thank you for your answer!
– François ROSTKER
Nov 23 '18 at 10:12
Thank you for your answer!
– François ROSTKER
Nov 23 '18 at 10:12
add a comment |
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