Train a model to draw bounding boxes on certain objects in an image?
Is it possible to use GCP Machine Learning products to train a model to draw bounding boxes on certain objects in an image? I'd like to be able to feed labeled images and have it predict where that label would belong.
computer-vision google-cloud-vision vision
asked Nov 20 at 19:52
Josh
1
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Is it possible to use GCP Machine Learning products to train a model to draw bounding boxes on certain objects in an image? I'd like to be able to feed labeled images and have it predict where that label would belong.
computer-vision google-cloud-vision vision
asked Nov 20 at 19:52
Josh
1
add a comment |
Is it possible to use GCP Machine Learning products to train a model to draw bounding boxes on certain objects in an image? I'd like to be able to feed labeled images and have it predict where that label would belong.
computer-vision google-cloud-vision vision
asked Nov 20 at 19:52
Josh
1
Is it possible to use GCP Machine Learning products to train a model to draw bounding boxes on certain objects in an image? I'd like to be able to feed labeled images and have it predict where that label would belong.
computer-vision google-cloud-vision vision
computer-vision google-cloud-vision vision
asked Nov 20 at 19:52
Josh
1
asked Nov 20 at 19:52
Josh
1
asked Nov 20 at 19:52
Josh
1
asked Nov 20 at 19:52
Josh
1
asked Nov 20 at 19:52
Josh
1
1
add a comment |
add a comment |
1 Answer
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I think you are looking for something like this, where the Tensorflow machine learning library is used:
https://cloud.google.com/solutions/creating-object-detection-application-tensorflow
A note:
When you say that you want to be able to feed labeled images and have it predict where that label would belong, i assume you mean where that object is present in the image in terms of the bounding box coordinates. If so then the library should take care of that for you, your job is just to train the network with your labeled images.
answered Nov 20 at 20:11
hatati
112
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
I think you are looking for something like this, where the Tensorflow machine learning library is used:
https://cloud.google.com/solutions/creating-object-detection-application-tensorflow
A note:
When you say that you want to be able to feed labeled images and have it predict where that label would belong, i assume you mean where that object is present in the image in terms of the bounding box coordinates. If so then the library should take care of that for you, your job is just to train the network with your labeled images.
answered Nov 20 at 20:11
hatati
112
add a comment |
I think you are looking for something like this, where the Tensorflow machine learning library is used:
https://cloud.google.com/solutions/creating-object-detection-application-tensorflow
A note:
When you say that you want to be able to feed labeled images and have it predict where that label would belong, i assume you mean where that object is present in the image in terms of the bounding box coordinates. If so then the library should take care of that for you, your job is just to train the network with your labeled images.
answered Nov 20 at 20:11
hatati
112
add a comment |
I think you are looking for something like this, where the Tensorflow machine learning library is used:
https://cloud.google.com/solutions/creating-object-detection-application-tensorflow
A note:
When you say that you want to be able to feed labeled images and have it predict where that label would belong, i assume you mean where that object is present in the image in terms of the bounding box coordinates. If so then the library should take care of that for you, your job is just to train the network with your labeled images.
answered Nov 20 at 20:11
hatati
112
I think you are looking for something like this, where the Tensorflow machine learning library is used:
https://cloud.google.com/solutions/creating-object-detection-application-tensorflow
A note:
When you say that you want to be able to feed labeled images and have it predict where that label would belong, i assume you mean where that object is present in the image in terms of the bounding box coordinates. If so then the library should take care of that for you, your job is just to train the network with your labeled images.
answered Nov 20 at 20:11
hatati
112
answered Nov 20 at 20:11
hatati
112
answered Nov 20 at 20:11
hatati
112
answered Nov 20 at 20:11
hatati
112
112
add a comment |
add a comment |
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