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Datatang provides image and speech data collection of in-cabin and autonomous driving scenarios. Our platfosupports various data types labeling such as points, lines, bounding boxes, polygon, etc., to assist autonomous vehicles better perception in complex and diverse real-world environments.
Support various types of speech data collection and annotation, such wake-up words, command words and noise.
Support data collection and labeling for in-cabin visual perception, such as drivers and passengers' head orientation, facial expression, gaze tracking and gesture detection.
Support data collection requirements of multi-sensor, different time periods and different weather and time sync and spatial calibration.
Supports 3D or 2D-3D fusion object detection for various types of objects.
Supports 3D or 2D-3D fusion object tracking for various types of objects.
Point cloud semantic segmentation, instance segmentation, panoptic segmentation.
Our platform is embeded with 30 annotation template and supports automatic object resizing, grounding, detection, rotation, casting and etc.
Automate Object Resizing
Using pre-defined parameters, quickly generate missing object coordinates.
Fast alignment of detected 3D object with identified ground, increasing annotation efficiency.
Automatically aligns the 3D object with the ground, increasing annotation efficiency.
Automatic Object Detection
Automatic Detect Object in a Sequence, annotator only needs to label a few frames, increased productivity
Automatic Object Rotation
L-shape-filting algorithm implemented to auto rotate object and approximate object size
All annotation operations in different views are synchronized, and all operations are rendered in real time.
Supports comprehensive annotation needs for speech, image, video, point cloud, and text data.
58,255 Images Object Detection Data in Construction Site Scenes
4,001 People Single Object Multi-view Tracking Data
78,024 Images-Parking Space Data
103,282-Images Driver Behavior Annotation Data
304 People Multi-race - Driver Behavior Collection Data
1,003 People-Driver Behavior Collection Data
Client wants to improve the current driver monitor system. Datatang help client collect a series of dangerous driving behavior data, such as sleeping, smoking, talking, eating, drinking and etc., while fully guaranteeing the safety of implementation. Camera angles, position, vehicle type and ollection personnel ratio are fully considered in the collection process.
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.