IMAGE AND VIDEO TAGGING:
Image tagging: Machine learning algorithms can automatically detect faces and other specified objects in photos based on your manually tagged photographs.
Optical character recognition: With the latest advancement of machine learning in Computer Vision hand written documents are being scanned as digital text documents and computer vision has gained more spotlight because of the self-driving cars as machine learning is the core of it. It can teach the car what a stop sign is and how to recognize an approaching car simply by looking at each frame of footage from a video camera. All of these features are achieved by object detection and applying machine learning to detect any specific object like a stop sign more efficiently and intelligently.
Machine learning can be utilized to classify textual information from sources such as emails, chats, documents, and tweets. Thanks to these text analysis methods, companies can undertake:
Spam filtering: Email programs can learn to classify emails as spam based on their content thanks to machine learning.
Sentiment analysis: Machine learning can classify whether a writer is expressing positive, negative, or neutral opinions.
Information extraction: Machine learning can create systems to extract specific information including keywords, names, and addresses from text.
Machine learning is central to self-driving car technology. It can teach the car what a stop sign is and how to recognize an approaching car simply by looking at each frame of footage from a video camera.