Video data includes both image and audio aspects, so it can be used to train a wide range of machine learning models for computer vision, natural language processing, and more. You might need video training datasets as the first step for training autonomous vehicles or building a model for content moderation. For example, computer vision algorithms, such as systems that find human figures in security footage, need to be trained with carefully collected and segmented data to ensure unbiased results.

Develop the AI machines and computer systems using the annotated videos as a training data for precise results. We can annotate the any type of video using the advanced techniques and tools helping to build the computer vision model work with highest quality. Our state-of-the-art facility provides the best quality annotated videos using the best-in-class video annotation tool for deep learning or machine learning.

Using the the annotated videos Autonomous vehicles can recognize the objects like other vehicles, street lights, sign boards, traffic signals, lanes, cyclists and pedestrians walking on the street. We use advance video annotation tool computer vision to annotate videos frame-by-frame precisely helping AI developers to build a ground truth model allowing them to develop a fully functional and reliable autonomous vehicle.

Tracking human poses becomes easier with us, as we annotate or label human poses making easier for machines to easily detect human activity and interactions in various situations. While understanding the computer vision problems our experts can do live video annotation use the most efficient tools and technique to accurately annotate the facial expressions of humans and how they pose while performing various actions.