• AI Services
    Data Labeling for
    Computer Vision

    Train computer vision models at scale with human-annotated visual data

Training Data for
Computer Vision

Millions of real-world data samples are required to effectively train computer vision models to truly “see” the world. This crucial need for human-annotated data is absolutely necessary for mission-critical applications, such as autonomous vehicles or facial recognition, where images must often be labeled down to a single pixel.

At TaskUs, we provide clients with the highest-quality image, video, and sensor training data services to maximize recognition speed, accuracy, and reliability.
*As of of March 31, 2022
*As of December 2021






Average eNPS (2021)
Average cNPS (2021)

Quality Management

Our rigorous training and testing process enables Us to design custom, effective quality frameworks to both meet and exceed our clients’ data quality standards.

Flexible Labeling Tools

Our use of industry-leading tools, tech, and solutions enables Us to label image and video data quickly and at scale, supporting a wide range of computer vision projects.

Project Management Expertise

We continuously demonstrate our expertise in executing complex, large-scale programs catered to our partners’ computer vision data labeling needs.

Data Security

We continuously and diligently provide enterprise-level security options for sensitive data or compliance needs, from on-site staffing solutions to ISO-certified facilities.

Computer Vision Services

Train and power computer vision models through our wide and effective range of sensor, image, and video annotation types.
  • Point Cloud Annotation
  • Sensor Fusion
  • Image Transcription
  • Image Classification
  • Bounding Box Annotation
  • Cuboid (3D) Annotation
  • Polygon Annotation
  • Pixel Level Segmentation
  • Key Point Annotation
  • Line & Spline Annotation
  • Semantic Segmentation
  • Bounding Box
  • Semantic Segmentation
  • Video Classification
  • Video Transcription
  • Event Annotation
  • Intent Categorization
Image Annotation
We support a wide range of image annotation types including bounding boxes, polygon annotation, and semantic segmentation.
Video Annotation
We feed your computer vision models with accurately annotated video datasets. Collect and classify videos, classify individual frames and events, detect and track specific objects, and more with Us.
Point Cloud Annotation
We employ high-precision labeling tools to meticulously annotate point cloud data from a variety of sources, including cameras, LiDAR, and radar sensors.
Image Transcription
We identify and extract text from images, PDFs, and more to increase the accuracy of optical character recognition (OCR) models. We support all image transcription projects regardless of content type, subject matter, or scale.
Case Study
Image & Video Annotation for Autonomous Vehicles
Learn how TaskUs optimized computer vision data annotation for a Leading Autonomous Vehicle Company:
  • 1,800 full-time data annotators
  • 16 project workflows, including semantic mapping, feature extraction, multilayer object classification, and LiDAR sensor fusion
  • Custom-built quality framework, resulting in a 98% accuracy score

Our Awards

  • North America
    Company of the Year
  • BPO of the Year
  • Best Company Culture
  • Best Company for Women
  • Best Company for Diversity
  • Best CEO – Bryce Maddock, CEO, TaskUs

    Our Innovation Partners

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