Skyl Computer Vision

derive insights from your images and more

Build Insightful Computer Vision Solutions

Computer vision has enabled machines to see the visual world and interpret it beyond human vision like analyze air quality, monitoring of assets, vandalism detection or even categorizing images in an effective and scalable manner.

Skyl's state-of-the-art computer vision technology is based on neural network architecture which allows users to build systems that can range in uses from abusive content extraction to sentiment analysis to image categorization


Image Classification

Image classification is the process through which a computer understands and processes images based on context and divided into categories. Machine learning algorithms can automatically classify sets of unstructured pixel data.

Skyl’s Image Classification can help businesses minimize their efforts in understanding image context and focus on solving problems, driving revenue, and gain business insights.