• image datasets for machine learning
    AI Services
    Image Annotation

    Power computer vision models with the best in human annotated image data

What is
Image Annotation?

Image annotation is the process of labeling images of a dataset to train a machine learning model. Image annotation services play a critical role in training computer vision models to see and interpret visual information just like humans do.

TaskUs has deep experience annotating a wide range of annotation methods and types to help make objects, events, and environments distinguishable to machine learning models. Our client-focused approach allows us to provide tailored annotation workflows to companies.

Image Training Data with TaskUs

At TaskUs, we provide the best quality human intelligence to power AI and ML products and research
image annotation services

Quality Management

Our rigorous training and testing process enables Us to design custom, effective quality frameworks to meet and exceed client data quality standards.
image annotation companies

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.
annotate images for ai

Project Expertise

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

Data Security

We continuously and diligently provide enterprise-level security options for sensitive data or compliance needs, from on-site staffing to ISO-certified sites.
*All numbers are as of September 2023
18 million

Images processed monthly

(for one of our clients)
Teammates worldwide
Growing by 1,500+
Taskers weekly

Average Handling Time


Average QA score in all data-related operations

Image Annotation Services
TaskUs supports all kinds of image annotation services, from 2D bounding boxes to pixel-level semantic segmentation.
ai computer vision use images as the training data
Image Collection
Gather thousands of images based on your unique quality standards, and in the formats required by your machine learning models
image computer vision
2D/3D Bounding Box Annotation
Draw and label bounding boxes around the objects of interest in your images to improve object detection models
image data annotation
Semantic Segmentation
Assigning each pixel in an image to predefined object classes to achieve precise object recognition
image annotation ai
Landmark / Key Point Annotation
Train models to detect small objects and shape variations by marking locations of key points within images
ai image labeling
Polygon Annotation
Define important features and irregular shapes within images to train computer vision models to better approximate the contour of objects
ai data collection
Line and Polyline Annotation
Define linear structures within image data, tracing the shape of structures such as roads, rail tracks, and pipelines
ai data collection companies
Image Classification
Classify 1000s images into predefined categories according to their visual content
labelling images for machine learning
Image Transcription
Identify and extract text from images, PDFs, and more to increase the accuracy of optical character recognition (OCR) models
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

    Download Case Study

    Data Tagging for an Autonomous Vehicle Company


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    Our Awards

    • Best CEO for Diversity -
      Bryce Maddock, CEO, TaskUs
    • Best CEO for Women -
      Bryce Maddock, CEO, TaskUs
    • Best Company for Career Growth
    • Best Leadership Teams
    • Top 50 Inspiring Workplaces list for
      EMEA in 2022 (#27)
    • 2022 Inspiring Workplaces Awards - EMEA (Finalist)
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