001
3D point cloud labeling for spatial and object detection
002
Mark linear paths like roads, lanes, and boundaries
003
Pixel-level labeling for precise object recognition
004
Draw boxes to locate and classify target objects
005
Outline irregular shapes for detailed object tagging
006
Trace curved lines and contours in complex visuals
007
Label key object points for pose and motion tracking
008
Label X-rays, MRIs, CTs, and ultrasounds for AI
001
Label text by categories like topic, intent, or sentiment
002
Label text by categories like topic, intent, or sentiment
003
Label text by categories like topic, intent, or sentiment
Annotate video frames with labels for AI tasks like object tracking, activity recognition, and scene understanding.
Audio data labeling involves adding tags to sound files to train AI models for tasks like speech recognition, classification, and speaker differentiation.
We rely on native-speaking annotators to deliver accurate language data annotation and translation, helping AI models understand and process multiple languages more effectively.
Meet your dedicated PM to align on goals, data annotation needs, and task guidelines.
Run a test annotation job to estimate effort, timelines, and output quality.
Refine instructions based on your feedback to ensure high-quality results.
Review sample outputs, share feedback, and finalize annotation guidelines.
Start full-scale data annotation with built-in QA and optimized workflows for accuracy and consistency.
Receive secure, labeled datasets with continued support if needed.
Feedback from the teams building smarter AI with Objectways.