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Datatang collects annotated voice and image data for smart home scenarios, enabling precise interaction with smart home devices.
Support multi-language and multi-device collection of data data collection and labeling of text, noise, and speaker roles.
Support static and dynamic hand gesture data collection and annotation of landmarks, attributes and gesture types.
Support multi-device, multi-scene and multi-angle human behavior data collection and labeling of human locations, landmarks, behaviors and attributes.
Supports indoor scene image collection and labeling of object classification, segmentation, and state recognition.
Support the image collection and annotation of a veriety types of abnormal behavior.
Supports comprehensive annotation needs for speech, image, video, point cloud, and text data.
The client wants to improve the scene recognition and detection technology of the sweeping robot, and needs to capture more than 200 home scenes. With years of experience in project management and implementation, Datatang collected 600,000 images and integrated 160 labels into 4 groups of large labels(each of large labels contains 5-38 small category labels), after that we annotated the images.
Datatang.ai provides comprehensive data annotation and collection services to help you succeed with your AI projects.
Datatang delivers high-quality data with intelligent self-inspection, multiple quality checks, and ISO9001 certification.
30 proven annotation tools for full coverage of voice, image video, 3D point cloud and text data annotation requirements.
We follows Personal Information Protection Act, GDPR, ISO27001/ISO27701 for security and regulatory compliance.
With the help of AI-assisted pre-recognition function, human-computer interaction semi-automatic annotation is realized.