The iMerit Blog

From casual to cultured, the iMerit blog tackles a wide array of topics related to security, expertise, and flexibility in the Artificial Intelligence and Machine Learning data-enrichment marketplace.

Jun 11, 2025

Managing Uncertainty in Multi-Sensor Fusion: Bayesian Approaches for Robust Object Detection and Localization

Learn how Bayesian methods handle uncertainty in multi-sensor fusion, improving object detection, localization, and safety in autonomous systems. Explore types of uncertainty, Bayesian inference, Kalman filters, and real-world applications in autonomous driving and UAVs.

Jun 10, 2025

Choosing the Right Deployment Model for Healthcare AI Annotation Platform: On-Prem vs. Hybrid vs. Private Cloud

Explore how healthcare organizations can choose the right deployment model —on-prem, hybrid, or private cloud to securely manage medical data and scale AI solutions effectively. Learn about key benefits, challenges, and how Ango Hub supports flexible, compliant cloud infrastructure for healthcare AI.

Jun 5, 2025

Supervised Fine-Tuning for Text-to-Code Models: Building Smarter AI Developers

Supervised Fine-Tuning (SFT) is essential for adapting LLMs into trusted text-to-code generators that produce accurate, secure, and context-aware software. This blog explores the challenges of SFT in coding, the critical role of high-quality annotated datasets, and how iMerit’s expert annotation teams and Ango Hub platform accelerate AI-driven code generation across languages and industries.

Jun 4, 2025

Medical Image Annotation: An Overview

Machine Learning is disrupting the world of medicine and healthcare, allowing professionals to diagnose patients better and faster than before.

Jun 2, 2025

What Makes Multi-Sensor Data So Challenging to Annotate

Discover why annotating multi-sensor data for AI is complex, from diverse formats to cross-modal consistency. Learn how iMerit’s tools and expert teams overcome these challenges. Power your AI with precise, scalable solutions.

May 28, 2025

How Generative AI in Medical Imaging Is Revolutionizing MRI, CT, and Ultrasound Scans

Over 3.6 billion medical imaging procedures are conducted worldwide every year, forming a crucial part of diagnostics. Medical imaging has

May 28, 2025

Image Annotation Applications: 9 Key Use Cases

High-performing AI systems don’t just depend on clever algorithms—they run on clean, structured data. For developers working in computer vision,

May 23, 2025

Continual Learning in Robotics: The Role of Feedback Data Loops

In robotics, learning is an ongoing process. Unlike traditional machine learning models that train once and deploy, robots operate in

May 21, 2025

Semantic Segmentation vs Instance Segmentation: How Do They Differ?

Precision matters when training machines to see the world as we do. Whether teaching autonomous vehicles to navigate traffic or

May 15, 2025

Efficiently Annotating Multi-DICOM Assets: Simplifying Medical AI Workflows with Ango Hub

Learn how Ango Hub simplifies medical imaging workflows by enabling efficient annotation of multi-DICOM assets. Improve accuracy, streamline imports, and accelerate AI model development with cloud-based tools and secure storage integration.

May 14, 2025

What is Data Annotation?

Artificial intelligence models don’t learn in a vacuum. They require enormous volumes of high-quality data, meticulously labeled so that machines

May 9, 2025

Data Annotation for Robotics: Challenges and Innovations

Explore how high-quality data annotation enables robotic systems to navigate, perceive, and act intelligently. Learn about 3D point cloud labeling, sensor fusion, and human-in-the-loop workflows powering robotics across manufacturing, agriculture, healthcare, and household environments.