zeryx

zeryx / InceptionNetDemo / 0.1.2

README.md

This is an image classification example alorithm that utilizes the Image Net dataset. Exploring this algorithm's source is a great place to start when creating your own Tensorflow powered Image Classifier.

I/O

Input

{
	"image":String
}
  • image - (required) - a hosted image file, may be a web url (http, https) or a data connector URI (data://, s3://, etc).

Alternatively you can just pass a url directly to the algorithm as a string.

Output

{  
   "tags":[  
      {  
         "confidence": Double,
         "class": String
      },
      {  
         "confidence": Double,
         "class": String
      },
      {  
         "confidence": Double,
         "class": String
      },
      {  
         "confidence": Double,
         "class": String
      },
      {  
         "confidence":Double,
         "class": String
      }
   ]
}

  • tags - The top 5 classes that the model predicts are relevant to the image.
  • class - The classname for the class.
  • confidence - The confidence that this label is relevant.