Video

Book a Demo →

Use Cases

Computer Vision & Classification

  • random alt

    Detection & Tracking

    Locate and identify objects of various classes and track them frame by frame.

    • • Product Identification

    • • Damage and Defect Detection

    • • Sports Analytics

  • random alt

    Prediction & Planning

    Understand relationships between objects and predict behavior and intent.

    • • Autonomous Vehicles and ADAS

    • • Autonomous Checkout

    • • Physical Security

  • random alt

    Classification

    Classify entire videos or events within videos with start and end timestamps.

    • • Search and Ad Relevance

    • • Topic Modeling

    • • Policy Enforcement

How it works

Easy to Start, Optimize and Scale

Annotate all the vehicles, pedestrians and traffic lights in the video.

1client.createVideoannotationTask({
2    callback_url: 'http://www.example.com/callback',
3    instruction: 'Annotate all the vehicles, pedestrians and traffic lights in the video.',
4    attachment_type: 'video',
5    attachment: 'http://example.com/video.mp4',
6    objects_to_annotate: ['person'],
7  },
8  (err, task) => {
9    // do something with task
10  }
11);
Run Extraction
  • hexagon icon

    ML-Powered Data Labeling

    Receive large volumes of high-quality annotated videos via ML-powered pre-labeling and active tooling such as smart interpolation and superpixel segmentation as well as ML-based quality checks.

  • award icon

    Automated Quality Pipeline

    Have confidence in the quality of annotated data. Quality assurance systems monitor and prevent errors. Confidence scores trigger varying levels and types of human review.

  • flexibility icon

    Data Input Flexibility

    Submit videos as a distinct data type or as a sequence of images for annotation. Native video annotation is best suited for user-generated content, sports footage or any video combined with audio.

  • technology icon

    Multi-Modal Annotation Support

    Jointly represent data to understand relationships between different modalities. Scale supports videos integrated with audio, voiceovers, transcripts, and text in a single task to link different types of data inputs.

  • labels icon

    Comprehensive Label Support

    Specify geometries for different classes (e.g. polygons for furniture, ellipses for plates). Combine geometries in a singular task and label for events (e.g. music playing) to enhance scene understanding.

  • infinity icon

    Infinitely Long Tasks

    Annotate hours-long videos to accurately track objects. Our advanced algorithms enable no limits on video length with tracking accuracy even for objects that leave the camera view for long periods of time.

Quality Assurance

Best-In-Class Quality

Super Human Quality

Video tasks submitted to the platform are first pre-labeled by our proprietary ML models, then manually annotated and reviewed by highly trained workers depending on the ML model confidence scores. All tasks receive additional layers of both ML-based checks and human review.

The resulting accuracy is consistently higher than what a human or synthetic labeling approach can achieve independently.

Scale's DashboardScale's Dashboard

Get Started Today

Book a Demo →