Video annotation is used in creating training data sets for high visualization training in deep learning and machine learning models. Video annotation services involve adding metadata to videos which can be used to train Computer Vision models to detect and identify moving objects. It involves a very intensive process of processing, analyzing and understanding every frame in a video. We use highly specialized tools and a dedicated team of experts to ensure your video annotation needs are fulfilled. Our state of the art video annotation service lets you train your algorithm to perform a variety of tasks that are required for your AI technology and computer systems.
Purpose of Video Annotation Services
Labelling or annotation makes the object of interest recognizable while feeding it into an algorithm. In video annotation, this means making moving objects recognizable and learning their movements through computer vision. The size and complexity of data contained within a video makes annotation a formidable task. There are two methods to approach video annotation -
Video annotations are used in training Computer vision based AI models that have virtually unlimited applications. Some common usage for it include-
Computer vision models that make use of annotated video provide greater results than ones that are trained on image alone. It provides your algorithm with more information that it can learn to identify and make connections with. This means more efficient and reliable production on your end.
We have assembled a team of professionals that provide our customers with consistently reliable and comprehensive video annotation tools and services. We provide top quality training data for exceptional AI and machine learning projects through a combination of exceptional human intelligence and state of the art technology. Give a boost to your project efficiency and gain access to our testing ground for existing models with our labeling tool.