video annotation
AI Data Services
Video Data for
Machine Learning

Collect and annotate video datasets for computer vision

Video Data for
Machine Learning

Whether you’re developing autonomous vehicles or AI-based surveillance, all computer vision models rely on large volumes of highly diverse video training data.

TaskUs helps the world’s leading companies collect and annotate video data with speed, efficiency, and precision. Our continuous quality assurance protocols ensure the cleanest data to train computer vision models.

Video Training Data with TaskUs

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.
*All numbers are as of December 2024
10 million

items tagged per week

*For a specific use case
59,000
Teammates and
1M+  Taskers
16

Years in the Industry

>98%

Average QA score in all data-related operations

Video Data Services
TaskUs supports all types of video annotation services, from 2D bounding boxes to pixel-level semantic segmentation.
video labeling
Video Collection
Gather thousands of custom video samples based on your project requirements
video annotation services
2D/3D Bounding Box Annotation
Draw and label bounding boxes around the objects of interest within video data to improve object detection models
computer vision video
Semantic Segmentation
Assign each pixel in an video frames to predefined object classes to achieve precise object recognition
video annotation machine learning
Landmark / Key Point Annotation
Train models to detect small objects and shape variations by marking locations of key points within video data
video annotation company
Polygon Annotation
Define important features and irregular shapes within videos to train computer vision models to better approximate the contour of objects
video annotation outsourcing
Line & Polyline Annotation
Define linear structures within video data, tracing the shape of structures such as roads, rail tracks, and pipelines
video datasets for machine learning
Frame Classification
Classify video frames for perception models. Add an additional layer of metadata, from time stamps to environmental conditions such as weather, objects in view, and more.
machine learning on video data
Video Transcription
Convert video content into written text for subtitling or captioning. TaskUs supports 65+ languages, making it easy to transcribe video data for multiple markets.
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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