Web-based tool boosts AI understanding of human speech for seamless interaction, offering diverse annotation types to enhance natural language processing.
Algorithm learns to classify images into predefined classes through training on labeled images. Trained model categorizes new, unseen images based on recognized patterns.
Audio annotation categorizes information in audio files, aiding ML in speech recognition. Crucial for effective model training, it enhances algorithm understanding and recognition of diverse audio aspects.
Video annotation labels specific information for ML tasks like object detection and action recognition, aiding algorithms in understanding visual content.
3D annotation involves labeling objects within a three-dimensional space, crucial for training algorithms in tasks like object detection and segmentation in 3D data.