Data Annotation
Looking to deploy artificial intelligence and machine learning? Infoliam helps top companies across multiple industries annotate their data and achieve their AI goals.
Infoliam data annotation services are catered to the unique needs of our clients. Our most common labeling services focus on high-quality text annotation, video annotation, audio annotation, and image annotation. Infoliam teams work with clients to calibrate their quality requirements using custom processes that guarantee validation of the annotation work. All annotation work is turned around rapidly by a highly-qualified team of subject matter experts.
INFOLIAM DATA ANNOTATION SOLUTION
IMAGE ANNOTATION
Infoliam experts provide image annotation services including bounding boxes, polygon annotations, key point annotation, LiDar, semantic segmentation, semantic annotation, and image classification. Each workflow is designed to guarantee quality across every pixel of a given image.
VIDEO ANNOTATION
Infoliam experts label video footage to train computer vision models to detect and identify objects. Infoliam provides various video annotation services including bounding box annotation, polygon annotations, key point annotation, and semantic segmentation for use in self-driving cars, drones, robotics, and more.
TEXT ANNOTATION
Infoliam provides text annotation services including sentiment analysis, intent analysis, named-entity recognition (NER), and entity classification for use in NLP and machine learning models like chatbots to understand text and metadata for use in natural language processing, sentiment analysis, spam & intent detection, and more.
AUDIO TRANSCRIPTION
Infoliam 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 is then used to train neural network models in deep learning to detect medical conditions and suggest treatments.
FINANCE
Data annotation workflows organize vast sets of finance and insurance datasets into insights for better customer experiences. By annotating financial data, finance firms can detect market fluctuations and advise their clients.
INSURANCE
Data annotation for insurance helps improve customer experiences through the use of machine learning models. These AI models can aid in risk assessment by creating complex behavioral patterns that can be analyzed.
GOVERNMENT
Government experts use data to understand public sentiment, inform policy making, and detect security leaks.
AUTONOMOUS VEHICLES
Autonomous vehicles require expertly-labeled images and videos taken by multi-sensor cameras. These ground-truth datasets enable vehicles to see and engage with the environment as humans do.
COMMERCE
Proper data annotation helps merchants realize compelling customer experiences and outputs for e-commerce and other digital platforms.
AGRICULTURE
Data annotation in agricultural data allows farmers to predict harvest yields, reduce water usage, and protect their crops.
SOCIAL MEDIA
Using sentiment analysis and natural language processing, companies can skip counting likes and comments on social media and instead understand the emotions and opinions surrounding their brand, product, or service.
GIS MAPPING SERVICES
Data annotation in GIS analytics and mapping is used to improve city planning, analyze project risks, and optimize infrastructure planning and management.