Power of Computer Vision
Computer vision has advanced a lot in recent years and is applied for face detection, face recognition, transfer learning, segmentation, GAN and many more.
Grouping together the pixels that have similar attributes is called image segmentation. It helps to approach the problem in a more granular manner and extract more meaningful information.
By leveraging powerful algorithms (CV) and deep learning technology users are able to quickly highlight potential subjects and objects of interest, detect or track patterns, observe heat maps and anomalies in video footage.
Visual Search uses AI to understand images and their context and return the list of related results. Such is used by Ebay, Pinterest, Google, Microsoft and Facebook.
Researchers have leveraged computer vision and deep learning to classify images. Different pretrained models such as InceptionV3, VGG16, VGG19, MobileNet is used for achieving such task.
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Mask-RCNN Tutorial for Object Detection on Image and Video
Mask-RCNN is an approach of computer vision for object detection as well as instance segmentation.