AI in healthcare Accelerate Tumor & Lesion Annotation With Labellerr Table of Contents 1. Introduction 2. Challenge 3. Solution: Auto Labeling in Tumor and Lesion Detection 4. Conclusion 5. Frequently Asked Questions Introduction Identifying tumors and lesions is a critical task in medical diagnosis and treatment planning. The advancements in machine learning and medical imaging technology, automated systems can assist
labellerr Get Full Visibility In Data Annotation Project With Labellerr Imagine effortlessly monitoring your data annotation project's progress in real-time. Labellerr's Dashboard eliminates the need for manual tracking, providing a comprehensive overview of your project. This feature simplifies the process and gives you real-time updates on user activity and file statuses like total files, Accepted, remaining
labellerr Track Annotators Activities With Labellerr's Analytics Dashboard Table of Contents 1. Introduction 2. Why It's Needed 3. Advantages of Using User Activity Tracking 4. How Do I See User Level Activity in Labellerr Platform? 5. Conclusion 6. Frequently Asked Questions Introduction Keeping track of your team's progress in data annotation can be challenging,
AI Easily Manage Quality Control Of Data Annotation Project With Labellerr In Labellerr, we've introduced a handy feature that lets clients or reviewers efficiently assess specific files, i.e., a subset of files. Whether it's evaluating files from a specific date or those linked to particular annotators, the chosen files are easily accessible and seamlessly transitioned to
guide Get More Meta Data With Labellerr's Attribute Feature Table of Contents 1. Introduction 2. Why Is It Required? 3. Advantages of Using Attributes 4. How to Specify Various Attributes of Each Object in Labellerr? 5. Conclusion 6. Frequently Asked Questions Introduction Labellerr is thrilled to announce its latest advancement in annotation capabilities: the ability for customers to build
labellerr Save Time & Cost On Data Labeling With Auto-Label Feature Table of Contents 1. Introduction 2. Here's Where Labellerr's Auto-Label Comes In 3. Why Is Auto-Label Needed? 4. Labellerr Auto-Label: Powerful Features 5. How to Use Auto-Label in Labellerr 6. Conclusion 7. Frequently Asked Questions Introduction Imagine you're building an AI model to recognize
labellerr Precise Segmentation using Labellerr's Transparency Adjustment Table of Contents 1. Introduction 2. Why It's Needed? 3. Advantages of Using Transparency Adjustment 4. How Do I Adjust Transparency in Labellerr? 5. Conclusion 6. Frequently Asked Questions Introduction Navigating through complex datasets for annotation can often be challenging, especially when dealing with overlapped objects. Labellerr understands
labellerr Enhance Collaboration & Communication With Labellerr's Remarks Tags Table of Contents 1. Introduction 2. Why Is It Needed? 3. How to Make Remarks in Labellerr? 4. Advantages of Using Remarks Tag 5. Conclusion 6. Frequently Asked Questions Introduction We're excited to introduce a powerful new feature to Labellerr: "Remarks Tags." Labellerr is all about
guide Get Labeled Data In Multiple Format With Labellerr Table of Contents 1. Introduction 2. Why Is It Needed? 3. Advantages and Features 4. How to Export Dataset in Labellerr 5. Conclusion 6. Frequently Asked Questions Introduction Labellerr simplifies the export process, allowing users to seamlessly export files in various formats such as JSON, CSV, COCO, YOLOv5 and more
labellerr Save Time Reviewing Large Dataset With Quick Grid View Feature Table of Contents 1. Introduction 2. What Problem Does It Solve? 3. Advantages of Grid View 4. How to Use Grid Feature in Labellerr Platform 5. Conclusion 6. Frequently Asked Questions Introduction We are thrilled to introduce a significant enhancement to Labellerr that will revolutionize your workflow: the grid view
AI Easy Review Text Annotations With Labellerr's Object-Highlighting Feature Table of Contents 1. Introduction 2. Why Is It Needed? 3. Advantages of Object-Highlighting Feature 4. How to Use Labellerr's Object Highlighting Feature 5. Conclusion 6. Frequently Asked Questions Introduction Imagine you are an NLP specialist, tackling a massive text file for Named Entity Recognition (NER). You labeled
AI Measure False Positive to Object Detected In One Click With Labellerr Picture yourself as a data analyst tasked with assessing the accuracy of annotations within a dataset. Analyzing false positives in overall dataset is very crucial for quality assurance. Without Labellerr's latest feature update, your evaluation process is hindered by inaccurate error rate calculations that fail to provide a
AI Photovoltaic System Thermal Inspection using Computer vision Table of Contents 1. Introduction 2. What Is Photovoltaic System Thermal Inspection? 3. How Does Computer Vision Come into Play? 4. How Does Computer Vision Work in Photovoltaic System Thermal Inspection? 5. Uses of Computer Vision in Thermal Inspection 6. Conclusion 7. Frequently Asked Questions Introduction In the global pursuit
AI Food Recommendation Models Using Deep Learning Introduction In the age of information overload, finding the perfect recipe can sometimes feel like searching for a needle in a haystack. With countless cooking websites, blogs, and cookbooks available, it can be overwhelming to go through all the options to find a recipe that suits your taste preferences and
AI ML Guide to Train Food Recognition and Classification Model Build a precise food recognition model with deep learning. Use CNNs, transfer learning, and large datasets for dietary tracking and food safety.
Object Counting and Sorting using Computer Vision Discover how computer vision automates object counting and sorting across industries, improving efficiency in manufacturing, retail, logistics, and recycling. Learn the steps—from image acquisition to sorting—that drive precise inventory and process optimization.
AI Insurance Lead Prediction Using Machine Learning Introduction In today's fast-paced world, the insurance industry is continually seeking innovative ways to enhance its operations, boost sales, and improve customer satisfaction. One area that has gained significant attention in recent years is the utilization of machine learning (ML) and natural language processing (NLP) techniques for lead
AI Packaging Integrity Check Using Computer Vision Table of Contents 1. Introduction 2. How Computer Vision Is Used for Packaging Integrity Checks? 3. Advantages of Implementing Computer Vision for Packaging Integrity Checks 4. Conclusion 5. Frequently Asked Questions Introduction In today's globalized world, ensuring the integrity of packaging is crucial. From food safety to preventing
AI Wind Turbine Surface Damage Detection Using Computer Vision Table of Contents 1. Introduction 2. What Roles Does Computer Vision Play in Wind Turbine Inspection? 3. Application 4. Advantages of Using Computer Vision 5. Conclusion 6. Frequently Asked Questions Introduction In recent years, renewable energy sources like wind power have gained significant traction in the global energy landscape. Wind
NER ML Beginner's Guide To Build NER Model For News Articles Table of Contents 1. Introduction 2. NER Definition with Example 3. NER in News and Articles 4. NER Model Building 5. Challenges in NER 6. Conclusion Introduction Imagine reading all the news and having all the important information like names, places, events etc. automatically highlighted. That’s the magic of
AI Life Insurance Risk Assessment Using Machine Learning Table of Contents 1. Introduction 2. Machine Learning in Life Insurance Risk Assessment 3. Advantages of Using ML in Life Insurance Risk Assessment 4. Challenges 5. Conclusion 6. Frequently Asked Questions Introduction Life insurance plays a crucial role in securing the financial well-being of loved ones in the event of
AI Insurance Fraud Detection using NLP: How It Works Table of Contents 1. Introduction 2. Role of NLP in Fraud Detection 3. Real Life Scenario 4. How Do NLP Powered Companies Detect Insurance Fraud? 5. Companies That Offer Insurance Fraud Detection Solutions Powered by NLP 6. How Can Labellerr Help Create Training Data for NLP Model? 7. Types of
AI Beginner's Guide To Build NLP Models Using Medical Text Transcription Table of Contents 1. Introduction 2. Medical Text Transcription Classification Using NLP 3. Model Building 4. Challenges of NLP in Medical Text Classification 5. Conclusion 6. Frequently Asked Questions Introduction In the realm of healthcare, the vast amount of medical data has motivated the need for efficient methods to organize,
AI Liver Disease Prediction Using Machine Learning Table of Contents 1. Introduction 2. Steps for Model Building 3. Conclusion 4. Frequently Asked Questions Introduction Liver diseases affect millions globally, posing a significant burden on healthcare systems and individual lives. Liver diseases consists a spectrum of conditions ranging from fatty liver disease to cirrhosis, posing significant challenges to
AI Chronic Kidney Disease Detection Using Machine Learning Table of Contents 1. Introduction 2. Steps for Model Building 3. Conclusion 4. Frequently Asked Questions Introduction Kidney disease is a critical health issue affecting millions of individuals worldwide. The kidneys play a vital role in filtering waste and excess fluids from the blood, regulating blood pressure, and maintaining electrolyte
