The best way to classify vector images from photos?

By jimmy

I need to separate images into three categories: vectors, photos with vectors and pure photos. The classifying needs to happen in “real-time” so this leads me to my question: what would be good algorithm for classifying these types of images from accuracy/performance tradeoff perspective?

Images are not my speciality so all pointers are appreciated.

For performance heavy side of things I tried tensorflow with inception to get a baseline however the model reached only ~88% accuracy. I conclude this is due Inception being a photo classifying model and something like a solid color vector doesn’t really fit into its world.

There must be easier/more lightweight solution than deep learning to detect such a different type of images?

Source: Stack Overflow

    

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