Video Annotation
Object Detection & Tracking
Object Detection & Tracking involves identifying objects within images or videos and continuously monitoring their positions as they move. This technology is essential for applications such as surveillance, autonomous vehicles, and augmented reality, where understanding object dynamics is crucial. Our advanced object detection and tracking services provide accurate, real-time monitoring and classification of objects, ensuring your AI models can effectively interpret and respond to dynamic environments.
Object & Activity Recognition
Object & Activity Recognition goes beyond detecting objects to understanding their actions and interactions within a scene. This capability is vital for applications in security, sports analytics, and human-computer interaction. Our state-of-the-art recognition services enable AI systems to identify and classify various objects and activities with high precision, enhancing their ability to understand complex scenes and predict future actions.
Frame-Level Annotation
Frame-level annotation is the process of labelling objects, actions, or events in each frame of a video. This granular approach is essential for training AI models in tasks such as video analysis, autonomous driving, and behavioural studies. Our frame-level annotation services provide detailed and consistent labelling across all frames, ensuring your models receive high-quality data to learn from and perform accurately.
Video Classification
Video Classification involves categorizing entire video clips into predefined classes based on their content. This technique is widely used in content recommendation systems, video search engines, and surveillance. Our video classification services offer precise and efficient labelling of video content, helping your AI systems understand and categorize vast amounts of video data quickly and accurately.
Emotion and Sentiment Analysis
Emotion and Sentiment Analysis in the video involves detecting and interpreting the emotional tone and subjective information expressed by individuals. This analysis is crucial for applications in customer feedback, social media monitoring, and market research. Our advanced emotion and sentiment analysis services provide accurate identification of emotions and sentiments, enabling your AI systems to understand and respond to human feelings effectively.
Facial Landmark Annotation
Facial Landmark Annotation involves marking key points on facial features, such as the eyes, nose, and mouth. This technique is essential for applications in facial recognition, emotion detection, and augmented reality. Our precise facial landmark annotation services provide detailed and accurate labelling, ensuring your AI models can effectively analyse and interpret facial expressions and features.
Cuboid Annotation (3D Bounding Box)
Cuboid Annotation, or 3D Bounding Box annotation, extends the concept of bounding boxes into three dimensions. This technique is used to annotate objects in 3D space, providing depth information along with height and width. It is crucial for applications such as autonomous driving, robotics, and augmented reality. Our cuboid annotations deliver accurate 3D data, supporting the development of advanced AI models that require detailed spatial awareness.
2D & 3D Pose Estimation
2D & 3D Pose Estimation involves determining the positions and orientations of objects or people in both two-dimensional and three-dimensional space. This technology is vital for applications in virtual reality, sports analytics, and human-computer interaction. Our pose estimation services provide accurate and detailed annotations, enabling your AI models to understand and analyse movements and positions with high precision.
