Neurotechnology launches AI-based image platform
21 November 2018 17:32 GMT

Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, today announced the launch of the newSentiSight.ai web platform for AI-based image recognition applications powered by deep neural networks. This interactive platform brings convenient, effective and fast solutions for image recognition tasks within reach of all users, from first-timer to expert. SentiSight.ai’s intuitive interface lets users develop their own customized, deep learning models for image classification without having to write any code.

The AI models can be used for a variety of image recognition tasks, such as moderating user content (e.g., detecting nudity or guns), tagging images with visible ads, detecting damaged products, classifying x-ray photos and much more. SentiSight.ai has applications in e-commerce, industry, agriculture, medicine and beyond.

“With SentiSight.ai, you can quickly and easily implement modern deep learning techniques to build an AI model and immediately start identifying content in images,” said Dr. Karolis Uziela, SentiSight.ai team lead from Neurotechnology. “It enables users to manage a tremendous number of images in an easy and efficient way.”

SentiSight.ai replaces SentiSight SDK in Neurotechnology’s product line. The new version employs cutting-edge, deep learning algorithms that update the previous version’s more traditional approach to image recognition. SentiSight SDK could only recognize particular learned objects and not object classes. Next-generation SentiSight.ai is able to identify classes of objects that are more abstract and can differ quite a lot from each other.

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