Data Annotation Services

iMerit offers high-quality data annotation services to help deploy AI and Machine Learning in Medical AI, Finance & Insurance, Government, and other industries

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What is Data annotation?

Data annotation is the process of labeling unstructured data/information for the purpose of training Machine Learning models. A vast amount of raw data exists all around us, in the form of emails, cellphone images, and videos, or speech recordings, and in different formats including images, video, text, and audio. When appropriately labeled, this data is used to help Machine Learning models identify relevant objects, sounds, or words, and thereafter perform autonomous operations like driving, speaking, or assisting diagnostics, to name a few common applications.

Types of Data annotation

iMerit provides various data annotation services that cater to a client’s project needs. Common workflows include text annotation, video annotation, audio annotation, and image annotation. iMerit’s team works with the client to calibrate their quality and throughput requirements and builds custom processes to support client needs.

iMerit’s Data annotation Solution

Image Annotation

iMerit’s experts are well equipped to handle a variety of image annotation services that cater to a client’s project needs, including bounding boxes, polygon annotations, keypoint annotation, LiDar, semantic segmentation, and image classification.

Video Annotation

iMerit’s experts label or tag video clips that are used for training Computer Vision models to detect or identify objects. iMerit provides various video annotation services including bounding box annotation, polygon annotations, keypoint annotation, and semantic segmentation

Text Annotation

iMerit provides various text annotation services including sentiment analysis, intent analysis, Named Entity Recognition (NER), and entity classification that helps Machine Learning models to understand text data

Audio Transcription

iMerit’s experts convert audio material into text and organize the information into formats that machines and computers can understand. The text data can then be labeled to cater to a client’s project needs, and tasks including Named Entity Recognition (NER) & Entity Classification, Sentiment & Topic Analysis, and Intent And Conversation Analysis are performed.

INDUSTRIES USING ANNOTATION TODAY

Medical AI

Data annotation in medical diagnosis labels images like X-Rays, CT scans, Ultrasound and MRI reports available in digital formats. This data is then used to train Machine Learning models to perform deep learning to find out the actual condition and provide the right treatment

Finance

Data annotation workflows transform complex data by extracting and organizing vast sets of finance and insurance datasets into intelligence that leads to better customer experience.

Insurance

The insurance sector is based on data, right from underwriting to insurance claims. These tasks can be time-consuming and complex. Data annotation helps improve the customer experience, when insurance providers use a Machine Learning model to manage risk and make predictions by creating complex behavioral patterns.

Government

Data annotation experts in the public sector process the data into valuable insights about human behavior, public sentiment, policymaking, criminal intent, security leaks, and other information that greatly enhances government services

Autonomous Vehicle

Data annotation experts label images and videos in 360-degree visibility, captured by multi-sensor cameras, in order to build accurate, high-quality, ground truth datasets.

Commerce

Data annotation experts help merchants realize compelling customer experience for e-commerce and other digital platforms with organized, searchable, and relevant data

Agriculture

Data annotation in the agriculture sector labels datasets that are used to develop Machine Learning algorithms that allow farmers to predict their yield, reduce water usage, and protect their crops.

Social Media

Companies can now go beyond counting the number of likes or comments on social media and use sentiment analysis and Natural Language Processing to understand the emotions and opinions of people about the brand, product, or services.

GIS Mapping services

Data annotation in GIS analytics and mapping services includes capturing and digitization of both natural and manmade geographic features, and updating of geospatial data. This is used in smarter city planning, risk analysis and mitigation, and infrastructure planning and management.

Data annotation
process

EXPERT CONSULTATION

Transformative, solution-based approach. Interdisciplinary Data Annotation problem solving. Agility and responsiveness, Time-To-Value enhancers.

TRAINING

Targeted resources. Custom skilling. Focused and deep microlearning curriculum. Domain expertise. Rostering tools.

WORKFLOW CUSTOMIZATION

Alignment of Data Annotation tools and processes. Structured Development Milestones. Two-step production and QA annotation workflows.

FEEDBACK CYCLE

Transparency via analytics. Real Time Monitoring and Service Delivery Insights. Edge case Insights. Dynamic Model Improvement.

EVALUATION

Assessment of deliverable. Appraisal of key metrics, quality control processes. Model reconsideration. Analysis of business outcome.

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Data annotation use cases

TEXT ANNOTATION SOLUTION FOR TAXATION DATA

DATA ANNOTATION SOLUTION FOR TAXATION DATA

CrowdReason has huge volumes of taxation data from its client base. These data vary across geographies, and tax jurisdictions, that need to be processed and structured quickly and accurately. iMerit’s experts have developed a workflow to break down the data extraction process into smaller tasks. These tasks are tackled by iMerit’s trained text annotation teams.
“iMerit was and continues to be, an invaluable partner for us. They provided us with accurate data early on, which helped us get up and running with the development of our tax property software.”– Brandon Van Volkenburgh, CTO & Co-founder, CrowdReason

DATA ANNOTATION FOR SPORTS AI

iMerit has developed a customized end-to-end workflow for its engagement with KinaTrax, leveraging its proprietary tools and technology as well as the expertise of its experienced Computer Vision teams. Our expert labelers extract still images from in-game video footage of the players captured from numerous angles. The images are annotated precisely based on KinaTrax’s requirements.

“iMerit’s data annotation services enable us to build accurate models for hundreds of MLB pitchers and turn these models into actionable insights. We look forward to working with iMerit for seasons to come!” – Steven Cadavid, President, Kinatrax

DATA ANNOTATION IN NUMBERS

250

Data Points

5500

Data experts

95

Accuracy

WE PROVIDE DATA ANNOTATION SERVICES TO AI LEADERS

Learn more about our Data annotation service

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Top 5 Data Annotation Tooling and Workflow Trends For 2021