Microsoft cognitive-services VS Google Vision API
Simple comparison of result of Microsoft cognitive-services VS Google Vision API. Check the results achieved by 2 somehow simular example..
Which image api recognition engine is bigger gentleman ?
Check the result.. This is just a funny comparison.. I did not mean this rude. You get it, when you check the result of this outstanding api.. Microsoft has realy truly stunning results.
Microsoft cognitive-services image clasification result
{ "text": "a beautiful woman standing on a beach", "confidence": 0.6798031586203954 }
There is much more information about the image and they are impresive.. A beautiful woman.. Ok lets check google result,,
Google vision api More neutral
and let say, More or less ok..
"description": "clothing", "description": "vacation", ¨description": "beauty",
"description": "photo shoot", "description": "sun tanning", "description": "sports","description": "volleyball",
Microsoft cognitive-services image clasification result
{ "text": "a woman walking down a beach next to the ocean", "confidence": 0.5507436156974482 } ] }
Google vision api More neutral
"description": "clothing", "description": "vacation", "description": "black hair", "description": "beauty", "description": "sea", "description": "model", "description": "swimwear", "description": "supermodel", "description": "photo shoot",
Quite different types of results. For many applications, I might prefer Google's, but the natural sounding sentences from the Microsoft approach could be useful if a sentence about the picture was needed.
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