Microsoft cognitive-services VS Google Vision API
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.
She completely knows the requirement of getting workforce healthy and well balanced if you want for them to successfully combat the tests of work. Kinesiologie