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https://www.datatang.com/
https://www.datatang.ai/
Datatang's data annotation platform supports annotation of RGB, point cloud and voice data for intelligent in-cabin and autonomous driving scenarios
Datatang supports the collection and annotation of voice data, including noise, wake-up words.
Supports multiple vehicle models and multiple device collection and annotation of image datasets
Supports multi-weather, multi-scene, multi-road condition, and multi-sensor data collection.
Supports the labeling of 3D or 2D/3D fusion target detection for various types of objects.
Supports target tracking annotation of various objects in 3D or 2D/3D fusion.
Supports semantic, instance, or panoptic segmentation labeling for point clouds.
We also developed our own data annotation platform, which featured AI-assisted automatic object sizing, grounding, Grounding, object Rotating, etc."
Automate Object Resizing
Using pre-defined parameters, quickly generate missing object coordinates.
Automatic Grounding
Fast alignment of detected 3D object with identified ground, increasing annotation efficiency.
Automatic Flooring
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
Automatic Casting
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
Customers need to annotate a large amount of road data. The data hall marks and divides targets such as obstacles, lane lines, driving areas, and traffic signs in 2D driving images, and annotates single frames, tracking, and segmentation of 3D point cloud data, including 2D-3D fusion annotations. Accuracy exceeds customer requirements, helping to rapidly improve self-driving technology and promote mass production.
Customers want to improve the current driver intelligence analysis technology. Datatang provides data collection solutions of data on a range of dangerous driving behaviors such as sleeping, smoking, talking, eating, drinking and so on, while fully guaranteeing the security of the implementation. Camera angles, position, vehicle type and staff 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.
+1(626)594-5598
