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Human-in-the-Loop: How Does AI Training Get Better with Human Involvement?
admin
January 15, 2024

Human-in-the-Loop: How Does AI Training Get Better with Human Involvement?

People can verify whether a Machine Learning model’s predictions were accurate or inaccurate during training by using Human-in-the-loop machine learning, or HITL ML. HITL enables training with information that Let’s examine this Machine Learning methodology. How Machine Learning models are trained? Acquiring knowledge entails being able to reduce mistakes. A child learns that something went […]

Remote Patient Monitoring & Telehealth Services Evolving with New AI Technologies
admin
October 24, 2023

Remote Patient Monitoring & Telehealth Services Evolving with New AI Technologies

Artificial intelligence (AI) is increasingly being used in healthcare. One of the popular healthcare applications, remote patient monitoring (RPM), helps clinicians keep track of patients with acute or chronic illnesses in far-flung locales, elderly individuals receiving in- home care, and even hospitalized patients. The analysis of medical imagery and the correlation of symptoms and biomarkers […]

Satellite Imagery Dataset To Train The Model For Right Detection 
admin
December 19, 2022

Satellite Imagery Dataset To Train The Model For Right Detection 

Datalabeler provides satellite imagery data sets with annotated images to make the varied objects recognizable from the Aerial view , at sky level heights , Drone images etc  Datalabeler Annotation Technique Bounding Box  – Utilizing data annotations to outline objects of interest within an image for object detection using bounding box annotations Video Annotation  – Using annotated lines to […]

Best approaches for data quality control in AI training
admin
November 21, 2022

Best approaches for data quality control in AI training

The phrase “garbage in, trash out” has never been more true than when it comes to artificial intelligence (AI)-based systems. Although the methods and tools for creating AI-based systems have become more accessible, the accuracy of AI predictions still depends heavily on high-quality training data. You cannot advance your AI development strategy without data quality […]

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