Video Annotation

Shighi Technologies offers Video Annotation services for different Artificial Intelligence and Computer Vision Projects. Annotated Videos are essential for training computer vision models. We provide various video annotation services that will meet your project requirements, including Object Tracking for self-driving vehicles, Tracking human activity and Pose estimation, semantic segmentation, and more.

Our annotators are expertise in various video annotation tools to ensure the highest quality in real-time. Our skilled annotators have been learning the latest technologies in video annotation and quickly adapt them to achieve the highest quality in the annotation. Our experienced annotators use the frame-by-frame video annotation technique for a range of tasks to train machine learning algorithms, from simple categorization to object recognition over multiple frames.

Activity Recognition and Pose Estimation

Shighi Technologies video Annotation service helps to track human activities and their postures in various situations. Our professional video annotators label or annotate human actions and their postures perfectly for machines to easily recognize human postures and activity in various circumstances. We provide high-quality labeled videos as well as a cutting-edge tool for tracking all behavioral patterns.

Semantic Segmentation, Understanding, And Labeling

Shighi Technologies provides high-quality semantic segmentation services to a wide range of Artificial Intelligence and Machine Learning Industries. Our expertise annotators annotate or label each pixel of the image with its semiotic meaning to ease your machine learning model work perfectly. Our professional annotation experts recognize desired objects within the video at the frame-by-frame level.

Locate And Track Objects

Shighi Technologies provides a Frame-by-frame video annotation service to build a ground truth Artificial Intelligence or Computer Vision model for self-driving vehicles. Our highly experienced video annotators annotate a video frame-by-frame to track objects accurately. Frame-by-frame video annotation helps the Machine Learning model or Computer vision model to identify various objects like traffic signs, signals, pedestrians, cyclists, signboards, street lamps, animals, pets, obstacles, the movement of vehicles, and more.

We offer a free trial with assured quality for any new project to meet your expectations from our annotators. Our free trial allows you to visualize our quality annotation service and a preview of the final annotation.