Leading Artificial Intelligence Company ParallelDots Launches Emotion Detection API Using Facial Expressions
ParallelDots Facial Emotion Detection model is trained using a deep convolutional neural network on a large, proprietary dataset and achieves state-of-the-art accuracy on the standard Emotion FER dataset. The model analyzes images and returns probability scores of each of the seven emotion states.
Lewes, DE, April 05, 2018 --(PR.com)-- ParallelDots, Inc., the leading artificial intelligence company that uses sophisticated machine learning to understand text and images, today announced the launch of an Emotion Detection API using facial expressions in portrait images. This latest offering is part of the recently launched suite of visual intelligence APIs of ParallelDots which can be accessed here (https://www.paralleldots.com/visual-analytics).
ParallelDots Facial Emotion Detection model is trained using a deep convolutional neural network on a large, proprietary dataset and achieves state-of-the-art accuracy on the standard Emotion FER dataset. The model recognizes seven primary emotional states (neutral, happy, sad, surprise, anger, fear, disgust) based on facial expressions. The model can be accessed as a REST API and therefore, can easily integrate with any application to enhance the user experience. The model analyzes images and returns probability scores of each of the seven emotion states.
“Emotion detection using facial expressions is a difficult problem to solve but our in-house research team has effectively conquered this challenge with very high accuracy,” says Ankit Narayan Singh, co-founder and CTO of ParallelDots. “With the release of the API, we are further committed to our vision of bringing cutting-edge Artificial Intelligence at your fingertips,” he further added.
Facial Emotion detection can be an important tool for brands to monitor the visual content generated by the users on social networking sites and protect their brand reputation. The other use-case can be in group testing.
“Facial Emotion Recognition can be used to evaluate user responses to video games, commercials, or products at a larger scale and more efficiently. It can also be employed by market research agencies to understand the micro expressions of user’s face when interacting with brands, thus saving time and cost of manually observing such emotions,” said co-founder and CEO Angam Parashar.
ParallelDots is the leading independent artificial intelligence and machine learning platform which is used by 5,000 developers across the globe. With over eleven text analytics, four visual intelligence APIs and an Excel add-in for analysts and marketers, ParallelDots provides a comprehensive suite of machine learning solutions for developers and non-technical people alike. ParallelDots’ Enterprise services provides customization and on-premise solution for leading organizations of the world to save cost and improve profitability without compromising the privacy of their data.
About ParallelDots, Inc.
ParallelDots, Inc. is a venture-funded artificial intelligence company developing high impact solutions for real-world problems. ParallelDots invests in developing novel AI algorithms for unsolved problems and in engineering robust field-ready applications. ParallelDots team of 35 includes 20 data scientists and engineers.
ParallelDots Facial Emotion Detection model is trained using a deep convolutional neural network on a large, proprietary dataset and achieves state-of-the-art accuracy on the standard Emotion FER dataset. The model recognizes seven primary emotional states (neutral, happy, sad, surprise, anger, fear, disgust) based on facial expressions. The model can be accessed as a REST API and therefore, can easily integrate with any application to enhance the user experience. The model analyzes images and returns probability scores of each of the seven emotion states.
“Emotion detection using facial expressions is a difficult problem to solve but our in-house research team has effectively conquered this challenge with very high accuracy,” says Ankit Narayan Singh, co-founder and CTO of ParallelDots. “With the release of the API, we are further committed to our vision of bringing cutting-edge Artificial Intelligence at your fingertips,” he further added.
Facial Emotion detection can be an important tool for brands to monitor the visual content generated by the users on social networking sites and protect their brand reputation. The other use-case can be in group testing.
“Facial Emotion Recognition can be used to evaluate user responses to video games, commercials, or products at a larger scale and more efficiently. It can also be employed by market research agencies to understand the micro expressions of user’s face when interacting with brands, thus saving time and cost of manually observing such emotions,” said co-founder and CEO Angam Parashar.
ParallelDots is the leading independent artificial intelligence and machine learning platform which is used by 5,000 developers across the globe. With over eleven text analytics, four visual intelligence APIs and an Excel add-in for analysts and marketers, ParallelDots provides a comprehensive suite of machine learning solutions for developers and non-technical people alike. ParallelDots’ Enterprise services provides customization and on-premise solution for leading organizations of the world to save cost and improve profitability without compromising the privacy of their data.
About ParallelDots, Inc.
ParallelDots, Inc. is a venture-funded artificial intelligence company developing high impact solutions for real-world problems. ParallelDots invests in developing novel AI algorithms for unsolved problems and in engineering robust field-ready applications. ParallelDots team of 35 includes 20 data scientists and engineers.
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ParallelDots
Angam Parashar
+1 (855) 205-0340
www.paralleldots.com
Angam Parashar
+1 (855) 205-0340
www.paralleldots.com
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