Training Data for AI Security Camera

Watch this Video describing the Training Data for AI Security required to detect various objects in real life scenarios. The video by Anolytics describing the types of training data used in AI Security camera. And video by Analytics shows how image annotation technique is used to train such traning data sets for AI Security Cameras. Bounding box annotation, semantic segmentation and cuboid annotation are the leading image annotation technique to annotate the different objects through AI security cameras. Analytics provides image annotation services to annotate the images for AI Security Cameras.

What do you think?

0 points
Upvote Downvote

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Why Data Annotation is Important for Machine Learning and AI?

What is Healthcare Training Data? Why is it important?