Microsoft’s Project Oxford tool can now read your emotions


Microsoft has updated Project Oxford tool that is company’s machine learning and artificial intelligence research. It has received a new update that will detect your emotions.

Microsoft Project-Oxford-Emotions

The new API will be able to detect emotions based on the expressions it reads on a photo. Project Oxford uses machine learning, a newer name for what used to be called artificial intelligence, to read emotional qualities like anger, contempt, fear, disgust, happiness, sadness, surprise, and neutral from the facial image.

Project Oxford is Microsoft’s machine learning service that is part of its Azure portfolio which allows developers to create smarter apps by using the developed APIs that include facialrecognition technology, speech processing, language understanding interface, and visual tools. At present, the the Project Oxford site has a simple demo that allows you upload a photo and see how the service rates you on emotional scales.

Microsoft Project-Oxford-Emotions-1

The facial recognition technology that is part of Microsoft Project Oxford also can be used in plenty of other ways, such as grouping collections of photos based on the faces of people that appear in them. In addition to the emotional recognition tools, Project Oxford picks up improved gender and age detection, smile prediction, and the ability to recognize facial hair. The other new Project Oxford capabilities include video editing, spell checking, speaker recognition and Custom Recognition Intelligent Services (CRIS).

The emotion tool is available to developers as a public beta beginning today. In addition, Microsoft is releasing public beta versions of several other new tools by the end of the year. The tools are available for a limited free trial. Just yesterday, Google released TensorFlow Machine learning technology for developers.

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Author: Sneha Bokil

Sneha Bokil is a tech enthusiast and is currently using OnePlus 3T but she still treasures her Nokia N70 (M). You can follow her on Twitter @snehabokil and on Google+