Video annotation

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

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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

Video labeling in machine learning

Services

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

Polylines

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

Keypoints

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

Segmentation

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

Polugons

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

Classification

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. The account 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.