Scale Your Data Annotation Services

Make your AI/ML possible through reliable training data using our SCALABLE Data Annotation Services

Virtualigence specializes in providing High quality data and smarter AI data set for your ML (Machine Learning) model with our fully “DAS” Managed Services.

Virtualigence Data Annotation Services “DAS” provides A comprehensive solution & framework for your training data needs, Our DAS experts collects and labels images, text, speech, audio, video, and other data used to improve automate business process to enable your Artificial Intelligence (AI) and Machine Learning (ML) models.

Our Solution and reliable training data give leaders in technology, automotive, financial services, retail, healthcare, the confidence to deploy world-class AI/ML products & services

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Our Solutions

How it works?

Dataset Collection

Raw data is an essential part of any machine learning project but, very often, the needed data is hard to come by — when we collect data we know what we’re collecting and what’s needed to drive your AI/ML project

Data Training

Training Data is nothing but to augmented or categorized data needed to train your Machine Learning (ML) models. Partner with Virtualigence in your journey to collect and build reusable high-quality training data using our DAS Framework.

Dataset Annotation

Virtualigence provides Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation, and 3D Cuboid Annotation in the field of Healthcare, autonomous driving, retail, Rail-road, transportation, security monitoring, and agriculture.

MLOps Canvas

In order to give relevant insights, we audit your datasets and do manual error analysis of your model’s performance using MlOPs Canvas.

Types of Data Annotation Services

Bounding Box

Bounding box annotation is one of the most used forms
of labelling in computer vision applications. Bounding
boxes are used in nearly every industry since they may
be used to identify, measure, and count almost anything.
Semantic Segmentation

Semantic segmentation may label each pixel on an
image and allocate it to a specific category.
Polygon

Because of its versatility and pixel-perfect labelling capacity,
polygon annotation is frequently employed in object
detection and identification models.
3D Annotation

It may be utilized in a wide range of industries since 3D
annotation enables for depth and volume perception.
It’s a lot more challenging to annotate than 2D data,
but it gives you a lot more information when 2D visual
data isn’t enough.
Video Annotation

Video annotation can be used for many industries that utilize
sequential data or are interested in tracking changes over time.
Keypoint Annotation

Movement monitoring and prediction, human body component
detection, gesture and face recognition, posture recognition for
AR/VR, and even sign language translation can benefit from
keypoint annotations.

Work with our team in a flexed model and easy to engage approach

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About VI

At Virtualigence, we believe in not reinventing the wheel but build upon your ‘as-is’ systems to get you to a ‘to-be’ state.

With our years of experience we are a confident and knowledgeable team that can quickly pick-up and engage with your thought process, needs and digitization plans.