case study - Labellerr

case study

A collection of 23 posts

70% Faster Harvesting with AI and Robotics in vertical farming

How Labellerr Empowered Oishii's AI Advancements in Vertical Farming

Learn how Labellerr's advanced methods improved image segmentation for strawberry-picking robots. This case study explains the innovative solutions that made these robots more accurate and efficient.

automated quality control with Labellerr

Learn How This Research Organization Automated Quality Control With Labellerr

Accurately identifying low birth weight (LBW) babies is a critical challenge in regions with limited healthcare infrastructure. According to UNICEF, 50% of LBW babies, about 10 million annually go undetected, increasing risks of developmental disorders and neonatal mortality. Timely identification can significantly improve their quality of life through appropriate care.

Choosing the Right Data Labeling Tool for Sports Visual Analytics

Choosing the Right Data Labeling Tool for Sports Visual Analytics: A Strategic Guide

Table of Contents 1. Introduction 2. Understanding Your Sports Data Labeling Needs 3. Key Considerations 4. How Labellerr Solved Sports Data Annotation Challenge For Butterfly Positronics 5. Testing and Validation 6. Decision Making 7. Implementation and Training 8. Conclusion 9. FAQ Introduction In the fast-evolving world of sports visual analytics,

Evaluation and Fine-Tuning for Image Captioning Models - A Case Study

Evaluation and Fine-Tuning for Image Captioning Models - A Case Study

Table of Contents 1. Evaluation Metrics 2. Fine-Tuning Strategies for Image Captioning Models 3. Challenges in Image Captioning 4. Case Study 5. Conclusion 6. FAQ Image captioning models are sophisticated AI systems designed to generate descriptive text for images automatically. These models play a crucial role in various applications, such

How Labellers Transformed This Maritime Startup's Training Data Pipeline: A Case Study

How Labellerr Transformed This Maritime Startup's Training Data Pipeline: A Case Study

Table of Contents 1. Introduction 2. About Customer 3. Data Volume and Accuracy Challenge 4. How Labellerr Stepped In 5. Results and Impact 6. Conclusion 7. FAQ Introduction In today's fast-paced AI-driven landscape, the demand for accurate and efficient image annotation is more critical than ever. In this

Evaluating and Fine-Tuning Multimodal Video Captioning Models - A Case Study

Evaluating and Fine-Tuning Multimodal Video Captioning Models - A Case Study

Video captioning models represent a significant advancement in the intersection of computer vision and natural language processing. These models automatically generate textual descriptions for video content, enhancing accessibility, searchability, and user engagement. As video content continues to proliferate across various platforms, the ability to accurately describe and index this content

Construction Site Video Annotation With Labellerr

Construction Site Video Annotation With Labellerr

Construction sites are hazardous environments, where safety is important to prevent accidents and injuries. A 2022 study published in the Journal of Construction Engineering and Management discovered that using AI-powered video analysis for safety monitoring on construction sites resulted in a 20 percent decrease in safety violations when compared with

Precise Fruit Disease Segmentation With Labellerr

Precise Fruit Disease Segmentation With Labellerr

According to a research conducted by the Food and Agriculture Organization of the United Nations (FAO), plant diseases cause 20-40% of global crop losses. Precise fruit disease identification provides a strong tool for mitigating these losses and increasing agricultural productivity. With the advancement of computer vision technology, particularly in the

Enhancing Wound Image Segmentation with Labellerr

AI in healthcare

Enhancing Wound Image Segmentation with Labellerr

In the United States, around 2.5% of the population suffers from chronic wounds that affect their quality of life and managing wounds has a major financial impact on health care. Wound segmentation using computer vision technology has emerged as a valuable tool in medical imaging for precise diagnosis and

How Labellerr Accelerates Sports Image Annotation

How Labellerr Accelerates Sports Image Annotation

Table of Contents 1. Introduction 2. How Labellerr Helped Provide Rapid, High-Quality Annotations? 3. Advanced Features of Labellerr Platform 4. Conclusion 5. Frequently Asked Questions Introduction Sports image annotation is very high in demand computer vision use case because of its diverse use cases in game analytics, player training and

Speed Up Food Grain Segmentation Annotation Using Labellerr

Speed Up Food Grain Segmentation Annotation Using Labellerr Using SAM

Introduction In modern agriculture, the ability to accurately segment and count food grains using computer vision technology marks a transformative change in precision farming. How to feed the growing population while protecting the environment from the negative consequences of climate change is a major challenge in agriculture. Food production and

Audio Labeling with Labellerr- A Success Story from Intuition Robotics

Audio Annotation

How Intuition Robotics Achieved 10X Faster Audio Labeling With Labellerr

Table of Contents 1. Introduction 2. Understanding Audio Annotations 3. Uses of Audio Annotations 4. Significance of Audio Annotations 5. Challenges in Audio Annotation 6. The Challenge Faced by Intuition Robotics 7. Labellerr's Solution 8. Results and Impact 9. Conclusion 10. Frequently Asked Questions Introduction In today'

Transforming Healthcare: Foresight Health Solutions & Labellerr's Success Story

How Foresight Health Accelerates Its Medical Transcript Tagging With Labellerr

Table of Contents 1. Introduction 2. Our Customer 3. Data Volume and Accuracy Challenge 4. How Labellerr Stepped In 5. Conclusion 6. Frequently Asked Questions Introduction In the fast-changing world of healthcare data, Foresight Health Solutions faced a tough challenge which was the need to analyze and mark more than

Labellerr and Spare-It collaboration on waste segmentation for sustainability

How Spare-It Uses Labellerr to Revolutionize Waste Segmentation - A Case Study

Table of Contents 1. Introduction 2. Our Customer 3. Data Volume and Accuracy Challenge 4. How Labellerr Stepped In 5. Results and Impact 6. Conclusion 7. Frequently Asked Questions Introduction Sustainability is a big deal worldwide, and companies like Spare-It are leading the way by using technologies like AI/ML

Enhancing PR Solutions with Efficient Data Annotation

Enhancing PR Solutions with Efficient Data Annotation- A Case Study

PR (Public relations) is an integral part of corporate communication and spreading the awareness about company's product or services. PR generally are the most professional and strategic mode of communication, done via established media like news/magazine article, print and digital media. Finding the write channel is very

Image Annotation Case Studies

computer vision

Image Annotation Solving Real-World Problems

In our previous series of blogs, we have studied Image Annotation and its basics, covering Introduction to Image Annotation, highlighting its critical role in Why Image Annotation is Crucial for AI and ML, and presenting an overview of Types of Image Annotation. We also underwent techniques encompassing Manual Image Annotation,

Ultimate guide to image annotation for AI

Image Annotation

The Ultimate Guide to Image Annotation: Techniques, Tools, and Best Practices

Table of Contents 1. What is Image Annotation? 2. Use Cases in AI and Machine Learning 3. Types of Image Annotation 4. Best Practices for Image Annotation 5. Image Annotation Tools and Software 6. Data Augmentation 7. Transfer Learning 8. Regulations and Ethical Considerations in Image Annotation 9. Future Trends

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

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

Table of Contents 1. Introduction 2. Role of Computer Vision 3. About Aquabyte 4. How Aquabyte Utilizes Computer Vision 5. Conclusion Introduction 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

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

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 their customers know how