Audio data, rich in dynamics, involves factors like language, speaker demographics, mood, and more. KPT’s audio annotation services go beyond verbal cues, identifying parameters through timestamping and labelling. We capture non-verbal elements like silence, breaths, and background noise, providing a holistic understanding for applications like speech recognition and sentiment analysis. Trust KPT for thorough audio annotation, enhancing your machine learning systems’ comprehension of diverse audio attributes.
Video annotation is the precise labelling of individual frames in a video, a crucial step in developing robust computer vision models. KPT excels in annotating key points, polygons, or bounding boxes, empowering machine learning models to understand movement, behaviour, and patterns. This process ensures a comprehensive grasp of visual data, facilitating advanced concepts like localization and object tracking. Elevate your computer vision applications with KPT’s expert video annotation services.