Description Usage Arguments Details Value See Also Examples
Given an input image, returns a series of image classifications and associated scores
1 | image_recognition(img, version = NULL, ...)
|
img |
image data |
version |
for api version |
... |
additional arguments to passed to request |
* Input can be either grayscale or rgb color and should either be a numpy array or nested list format.
* Input data should be either uint8 0-255 range values or floating point between 0 and 1.
* Large images (i.e. 1024x768+) are much bigger than needed, resizing will be done internally to 64x64 if needed.
* For ideal performance, images should be square aspect ratio but non-square aspect ratios are supported as well.
List with image recognition
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