Machine Learning For Flower Recognition

Machine Learning For Flower Recognition

The image recognition technology developed by Microsoft Research has been harnessed to tackle the problem of flower identification and claims a success rate of 90%, which is almost on a par with an expert botanist. Over the past couple of years we’ve had fun with face-recognition apps developed by Microsoft Research for age estimation, twin identification, and emotion detection. Microsoft Research UK has also applied AI techniques of machine learning and computer vision to the domain of dogs, producing a smartphone and a browser-based app for distinguishing breeds, see What’s That Dog. Given that at least 250,000 species of flowers exist, and that even experienced botanists have trouble identifying them all, this is an area that seems an ideal candidate for testing the limits of image recognition technology. According to the…


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