You can run object recognition on an image of any size, but the quality of the results depends on both the size of the image and the size of the object within the image.
The size of the object within the image is the more important factor: the algorithm works reliably (depending on other factors) if the object occupies a minimum area of 100x100 pixels. Some objects are detectable down to 50x50 pixels. Media Server does not usually detect an object below this size.
The size of the image is less important than the size of the object; however a large image might contain a large amount of clutter, which makes the algorithm slower and increases the false positive rate.
Other than size, factors that can reduce recognition accuracy are:
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