Sama Annotate

2D Video Annotation

Enterprises rely on Sama’s Video Annotation solutions and expertise to tackle a wide variety of video types, delivering the highest-level of quality at scale.

Trusted by leading companies around the globe

2D Video Annotation Solutions

Sama delivers best-in-class video annotation solutions for the most complex and demanding ML models.

Accurately detect and define the location of your target objects for clothing categorization, food system optimization, and identifying traffic signage, and more.

  • Achieve accurate placement with just two clicks with crosshair lines
  • Use state tracking for occlusion, truncation and overlapping objects
  • Create custom classes, multiple attributes per instance, and hierarchical relationships
  • Power up your object tracking with ML Assist for faster high-quality annotations
  • Use ML-assisted or linear interpolation between frames

Localize and detect complex objects with precision for autonomous checkout, vehicle detection, robotic automation, and crop identification.

  • Apply ML-assisted annotation for polygon for auto-annotation
  • Use grouping and layering for similar objects
  • Engage quick editing tools for adding and removing points
  • Create custom classes, multiple attributes per instance, and hierarchical relationships
  • Utilize linear interpolation between frames

Precisely detect pose variations for motion tracking, facial landmark detection, and hand gesture recognition.

  • Configure any custom keypoint shape including skeletons, hands, and eyes in a repeatable pattern for consistent results
  • Landmark important features using points
  • Get support for custom classes, multiple attributes per instance, and hierarchical relationships
  • Utilize linear interpolation between frames

Precisely annotate straight or curved objects with lines or arrows for lane marking.

  • Outline object boundaries with lines for clear edge identification
  • Highlight directional indicators with arrows
  • Get support for custom classes, multiple attributes per instance, and hierarchical relationships
  • Utilize linear interpolation between frames

Detect the depth and height of your object of interest for vehicle and pedestrian identification, robotic movement, and interior furniture placement.

  • Apply cuboids in both 2D & 3D for a variety of mixed applications
  • Enable highly accurate 2D cuboids in just three clicks via our multi-click technology
  • Get support for custom classes, multiple attributes per instance, and hierarchical relationships
  • Utilize linear interpolation between frames

What Sama 2D Video Annotation Offers

Bounding boxes, polygons, keypoints & points, lines & arrows, and cuboids support a wide range of use cases from ADAS & autonomous vehicles to video analytics for e-commerce and safety surveillance.

Improve your ML model’s accuracy by tracking complex object changes over time with static and dynamic annotations. And, tailor your ML model to meet specific requirements using custom classes and multiple attributes per instance.

Categorize scene level attributes with ease for indicating weather conditions, environment type, and activity identification.

Use Cases

Sama’s video annotation experts improve ML model performance by delivering annotations with unmatched accuracy and speed.

Why Choose Sama

Sama delivers not only accurate data annotation, but insights and recommendations via our vertically integrated platform combined with human-in-the-loop experts, all while embracing an ethical AI approach. This is why companies come to us when other data annotation solutions fail.

Enterprise-strength

Built for enterprises, supporting the most complex AI models.

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Experience & Expertise

Recognized as the subject matter experts for the enterprise.

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Ethical AI

Responsible actions lead to positive impact. It’s in our DNA.

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95+%

Guaranteed data accuracy

160M

Events tracked per month to improve our product and processes with A/B testing

65K+

Lives impacted to date thanks to our purpose-driven business model

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