Web-based annotation program is designed for efficiency. We use text annotation to help computers understand human speech for natural interaction with AI. We offer various annotation types to improve natural language processing and AI systems.
Image classification is a computer vision task where an algorithm learns to categorize images into predefined classes by training on labeled images. The trained model can then classify new, unseen images into these categories based on recognized patterns and features.
Audio annotation labels information in audio files, aiding machine learning models in tasks like speech recognition and music classification.It's crucial for training these models effectively.It helps algorithms understand and recognize different aspects of audio content.
The process of labeling specific information within a video, such as objects, actions, or events. It's crucial for training machine learning models in tasks like object detection, action recognition, and tracking.Annotations help algorithms understand and interpret visual information in videos.