case study - Labellerr

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case study

A collection of 7 posts

Learn How This Research Organization Automated Quality Control With Labellerr

Learn How This Research Organization Automated Quality Control With Labellerr

Our Client, Wadhwani Institute is an autonomous nonprofit organization working in the field of Artificial Intelligence. They use AI to its full potential to identify the weak places that underlie the world's most pressing issues and then devise creative fixes for them. They specialize in using technologies like computer vision,

Labellerr Helps This Non-Profit Research Institute In Validating Quality of Labels

Labellerr Helps This Non-Profit Research Institute In Validating Quality of Labels

Our non profit research institute customer uses AI to its full potential to identify the weak places that underlie the world's most pressing issues and then devise creative fixes for them. They specialize in using technologies like computer vision, data science, cognitive reasoning, and IoT to address issues in infrastructure,

This Supply Chain Organization Uses Labellerr for Model-Assisted Labeling

This Supply Chain Organization Uses Labellerr for Model-Assisted Labeling

One of our client is a fully integrated producer and supplier of packaged food items. Their business is divided into four segments. Cooking oil, margarine, reducing, corrugated paper boxes, crude palm oil, kernel, and regular line tin cans are all produced under its Manufacturing section. The trading division deals in

Learn How this startup is Using Facial Dot Annotation for Redefining Beauty Industry

This Beauty Tech Startup Uses Labellerr to Get High Quality Labelled Images

This startup completely redefine how the aesthetics business scores and measures patient improvement. They contribute to the creation of Advanced AI SkinTech Technologies for Dermatology, Aesthetics, and Skin Care. They have introduced its AI Skin Analyzer, which gives users access to personalized product recommendations and a unique skin analysis report.

Computer Vision Based solutions for the Aquaculture industry

This Startup's Making Aquaculture Sustainable With AI

The aquaculture industry, which involves fish farming, faces various challenges that hinder its growth and sustainability. One of the major issues is the lack of efficient and accurate monitoring of fish health, welfare, and environmental conditions, which can lead to reduced productivity, disease outbreaks, and economic losses. Traditional monitoring of

Computer Vision Makes Drive Safer with DMS

Computer Vision Makes Drive Safer with DMS

Driver Monitoring Systems (DMS) is a type of technology that uses various sensors and cameras to monitor the behavior and alertness of the driver while operating a vehicle. DMS typically uses facial recognition and eye-tracking technology to detect and analyze the driver's facial expressions and eye movements in real-time. The

How Perceptly Uses Image Similarity To Fatsen Up Annotation

How Perceptly Uses Image Similarity To Fasten Up Annotation

Perceptly helps Ad agencies to analyze the real reason of what and why their creatives worked or not. Its creative optimization engine identifies messaging, visual and copy elements that are driving performance. They basically aim at providing personalized report insights from ads. They help in letting its customers know how