DATA ANNOTATION SERVICES

Looking to deploy artificial intelligence and machine learning? HelloIMX helps top companies across multiple industries annotate their data and achieve their AI goals.

WHAT IS DATA ANNOTATION?

Data annotation is the process of labeling unstructured data to train machine learning models. Today, we encounter high volumes of raw data in various formats such as images, videos, text, and audio. Properly labeled data is essential for supervised machine learning models to identify objects, understand sentiment, and perform functions like speech recognition or autonomous driving.

TYPES OF DATA ANNOTATION

HelloIMX’s data annotation services cater to the unique needs of our clients. Our most common labeling services include high-quality text annotation, video annotation, audio annotation, and image annotation. Our teams work closely with clients to meet their quality requirements using custom processes that guarantee validation of the annotation work. All annotation tasks are handled promptly by our highly-qualified team of subject matter experts.

HELLOIMX’S DATA ANNOTATION SOLUTION

Image Annotation HelloIMX provides image annotation services, including bounding boxes, polygon annotations, key point annotation, LiDar, semantic segmentation, semantic annotation, and image classification. Each workflow is designed to ensure quality across every pixel of a given image.

Video Annotation Our experts label video footage to train computer vision models to detect and identify objects. We offer various video annotation services, including bounding box annotation, polygon annotations, key point annotation, and semantic segmentation for applications such as self-driving cars, drones, and robotics.

Text Annotation We provide text annotation services, including sentiment analysis, intent analysis, named-entity recognition (NER), and entity classification for use in NLP and machine learning models. These models are utilized in chatbots, natural language processing, sentiment analysis, spam detection, and more.

Audio Transcription HelloIMX annotates audio material into text formats that machines and computers can understand. The text data can then be labeled to perform tasks like named entity recognition (NER), sentiment analysis, and conversation categorization.

INDUSTRIES USING ANNOTATION TODAY

Healthcare Data annotation in healthcare aids in machine learning projects by labeling x-rays, CT scans, ultrasounds, and MRI reports. This data trains neural network models to detect medical conditions and suggest treatments.

Finance Data annotation organizes vast sets of finance and insurance datasets into insights for better customer experiences. By annotating financial data, firms can detect market fluctuations and advise their clients.

Insurance Data annotation for insurance improves customer experiences through machine learning models that assist in risk assessment by creating complex behavioral patterns for analysis.

Government Government experts use data annotation to understand public sentiment, inform policymaking, and detect security threats.

Autonomous Vehicles Autonomous vehicles require expertly-labeled images and videos from multi-sensor cameras. These ground-truth datasets enable vehicles to perceive and interact with their environment like humans.

Commerce Proper data annotation helps merchants create compelling customer experiences and outputs for e-commerce and other digital platforms.

Agriculture Data annotation in agriculture allows farmers to predict harvest yields, reduce water usage, and protect their crops.

Social Media Using sentiment analysis and natural language processing, companies can understand the emotions and opinions surrounding their brand, product, or service beyond just counting likes and comments.

GIS Mapping Services Data annotation in GIS analytics and mapping improves city planning, project risk analysis, and infrastructure management.

Legal The legal industry uses data annotation to train machine learning models that automate tasks such as contract review, identifying negotiable clauses, high-volume case law research, and document discovery.

DATA ANNOTATION PROCESS

  1. Expert Consultation Transformative, solution-based approach with interdisciplinary data annotation problem solving. Agility and responsiveness to enhance time-to-value.
  2. Training Targeted resources and custom skilling with a focused and deep microlearning curriculum. Domain expertise and rostering tools.
  3. Workflow Customization Alignment of data annotation tools and processes. Structured development milestones with two-step production and QA annotation workflows.
  4. Feedback Cycle Transparency via analytics, real-time monitoring, and service delivery insights. Edge case insights for dynamic model improvement.
  5. Evaluation Assessment of deliverables, appraisal of key metrics, quality control processes, and analysis of business outcomes.

TALK TO AN EXPERT

Reach out to HelloIMX today to learn more about our comprehensive data annotation services and how we can help you achieve your AI goals.