Image annotation
Training Data provides a full range of services for working with images to create high-quality training datasets
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is the process of assigning labels or categories to pixels or objects in an image in order to train a computer model to recognize or classify these objects and understand their contents.
In Training Data, we offer both manual markup and using automatic algorithms (pre-markup, SAM, Llama, etc.), selecting tools based on the goals and metrics of your project
Image annotation in machine learning
Services
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
Polygons
Polygons that form a closed shape with well-defined boundaries of objects or areas of interest
Semantic segmentation
Classifying each pixel or point of an image or three-dimensional cloud into corresponding semantic classes or categories
Lidar
Adding semantic information and classifying points into categories of objects with the assignment of XYZ coordinates for self-driving cars
Keypoints
Key points with coordinates specified at specific locations to identify objects or structures in images and videos
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
3D cuboids
Rectangular volumes used for marking objects in three-dimensional space and with information about the size, position and orientation of the object
Classification
Assigning categories and classes to objects and images based on specified characteristics or properties
Matting
Creating a mask or masking area around an object in an image or video for video editing, special effects, AR applications
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.

01
Agreement:
We prepare a contract and all necessary documentation upon the request of your accountants and lawyers.
02
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:
03
Data uploads for verification are done iteratively, allowing your team to review and approve collected/annotated data.
04
Post-payment:
You pay for the work after receiving the data in agreed quality and quantity.
05
06
Timeline
24 hours
Application
Conducting a pilot 
You pay for the work after you have received the data in the established quality and quantity

Carrying out work on the project
Quality control
Consultation
Pilot
from 1 to 5 days
from 1 day to several years
from 1 to 5 days
24 hours
1 to 3 days
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Why
Training Data Pro
Expert Team:
Flexible and Scalable Solutions:
Quality Assurance:
Data Security and Confidentiality:
Enhanced Data Accuracy
Consistency in Labels
Reliable Ground Truth
Mitigation of Annotation Biases
Cost and Time Efficiency
GDPR Compliance
Non-disclosure agreement
Data Encryption
Multiple data storage options
Access Controls and Authentication
35 top project managers
100% post payment
$550 minimum check
24/7 availability of customer service
6 years in industry
Variable Workload
Customized Solutions
40+ languages
100+ countries
250k+ assessors
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