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Training Data provides a full cycle of work on the collection and markup of video materials for the development, training and improvement of AI video analytics systems in 20+ industries

Video labeling in machine learning

Is the process of annotating video data to prepare them for use in neural network training tasks. In the process of video annotation, various objects or events are usually identified and marked or tagged, as well as their properties or characteristics. The labelingmay include information about the position, class, shape, movement, and other attributes of objects in the video



Object Tracking

The process of tracking and predicting the movement and state of objects with a unique ID in a video stream or sequence of frames

3D cuboids

Rectangular volumes used for marking objects in three-dimensional space and with information about the size, position and orientation of the object


A set of connected points forming a continuous contour with coordinates for describing curves or boundaries of objects, as well as marking the path of movement


Key points with coordinates specified at specific locations to identify objects or structures in images and videos


Assigning a class or label to a pixel or pixel area that indicates belonging to a specific object or category


Polygons that form a closed shape with well-defined boundaries of objects or areas of interest

Bounding box

Selecting an object with a rectangle to indicate the location and size of the object, without taking into account its shape in detail


Assigning categories and classes to objects and images based on specified characteristics or properties

Stages of work

  • Application

    Leave a request on the website for a free consultation with an expert. Th e acco unt manager will guide you on the services, timelines, and price
  • Free pilot

    We will conduct a test pilot project for you and provide a golden set, based on which we will determine the final technical requirements and approve project metrics
  • Agreement

    We prepare a contract and all necessary documentation upon the request of your accountants and lawyers
  • Workflow customization

    We form a pool of suitable tools and assign an experienced manager who will be in touch with you regarding all project details
  • Quality control

    Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data
  • Post-payment

    You pay for the work after receiving the data in agreed quality and quantity


  • 24 hours
  • 24 hours
  • 1 to 3 days
  • 1 to 5 days
    Conducting a pilot
  • 1 day to several years
    Carrying out work on the project
  • 1 to 5 days
    Quality control
You pay for the work after you have received the data
in the established quality and quantity

Training Data

  • Quality Assurance:
  • Enhanced Data Accuracy
  • Consistency in Labels
  • Reliable Ground Truth
  • Mitigation of Annotation Biases
  • Cost and Time Efficiency
  • Data Security and Confidentiality:
  • GDPR Compliance
  • Non-disclosure agreement
  • Data Encryption
  • Multiple data storage options
  • Access Controls and Authentication
  • Expert Team:
  • 6 years in industry
  • 35 top project managers
  • 40+ languages
  • 100+ countries
  • 250k+ assessors
  • Flexible and Scalable Solutions:
  • 24/7 availability of customer service
  • 100% post payment
  • $550 minimum check
  • Variable Workload
  • Customized Solutions

Tell us about your project!

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    • Data labeling

    • Data collection

    • Datasets

    • Human Moderation

    • Other (describe below)