Machine Learning - Labellerr

Machine Learning

A collection of 47 posts

Free vs Paid Data Labeling Tools Comparison

Automated Data Labelling

Free vs Paid Data Labeling Tools

Compare free vs. paid data labeling tools to understand their features, pros, cons, and best use cases. Choose the right tool for your project’s success.

Machine learning crop yield prediction model tutorial

ML Beginner's Guide To Build Crop Yield Prediction Model: Tutorial

Learn to predict crop yield using machine learning! This beginner’s guide covers data preprocessing, visualization, model selection, and evaluation to enhance agricultural decision-making and boost productivity.

metallic engine with piston

Machine Learning

How to Build an End-to-End ML Pipeline

This guide covers building an end-to-end ML pipeline in Python, from data preprocessing to model deployment, using Scikit-learn. It emphasizes automation, efficiency, and scalability with hands-on steps for data exploration, model selection, and prediction generation.

Predicting Gene Expression with AI-powered Enformer

Gene Expression AI

Predicting Gene Expression with AI-powered Enformer and Machine Learning

Enformer leverages AI and Transformers to decode non-coding DNA, predicting gene expression with high accuracy. By capturing long-range interactions, Enformer reveals genetic variant impacts, advancing genomics and personalized medicine.

Anomaly Detection in Computer Vision

Anomaly Detection

Anomaly Detection For Video Based Security and Surveillance

Anomaly detection in video-based security uses AI to spot unusual activities, like theft or violence, in real time. By learning normal patterns, these systems flag deviations, enhancing safety. Labellerr’s smart labeling engine refines this process, identifying anomalies efficiently.

ML Guide on Kitsune-Network Attack Detection

Machine Learning

ML Hands-On Guide on Kitsune-Network Attack Detection

Table of Contents 1. Introduction 2. Hands-On Tutorial 3. Conclusion 4. Frequently Asked Questions Introduction In today's digital world of cybersecurity, the threat is ever-evolving, necessitating robust defense mechanisms to safeguard against malicious activities. Kitsune, a neural network-based Network Intrusion Detection System (NIDS), emerges as a cutting-edge solution

ML Begineer's Guide on Network Intrusion Detection

ML Begineer's Guide on Network Intrusion Detection

Table of Contents 1. Introduction 2. Hands-On Tutorial 3. Conclusion 4. Frequently Asked Questions Introduction This is a comprehensive guide on Network Intrusion Detection Systems (NIDS). The blog is tailored for both beginners and experts in machine learning, product managers, and researchers interested in building effective intrusion detection systems. Network

Easily Manage Quality Control Of Data Annotation Project With Labellerr

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

Save Time Reviewing Large Dataset With Quick Grid View Feature

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

2 Best RLHF Libraries in 2024

Best RLHF Libraries in 2024

Imagine you're training a computer to understand and generate human-like language – that's what RLHF helps us do! It's like teaching a computer to get better at talking, writing, and understanding language by giving it feedback. RLHF is important because it helps us make those

9 Top Tools and Libraries for RLHF in 2024

7 Top Tools for RLHF in 2024

Reinforcement Learning from Human Feedback (RLHF) is a technique used in machine learning, specifically in the training of models to incorporate human input and feedback throughout the learning process. This approach is particularly beneficial for Large Language Models (LLMs) that may be challenging to train using traditional supervised learning methods.

Photovoltaic System Thermal Inspection using Computer vision

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

Insurance Lead Prediction using machine learning

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

Packaging Integrity Check Using Computer Vision

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

Wind Turbine Surface Damage Detection Using Computer Vision

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

Life Insurance Risk Assessment Using Machine Learning

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

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

Liver Disease Prediction Using Machine Learning

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

Chronic Kidney Disease Detection Using Machine Learning

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

Heart Disease Prediction Using Machine Learning

Heart Disease Prediction Using Machine Learning

Table of Contents 1. Introduction 2. Build ML Model 3. Conclusion 4. Frequently Asked Questions Introduction Heart disease is the leading cause of death globally, claiming millions of lives each year, presenting a significant challenge to hospitals and doctors. Early detection and intervention are crucial in preventing and managing this

ML Beginner's Guide on Solar Panel Inspection

Solar Panel Inspection

ML Beginner's Guide on Solar Panel Inspection Using Deep Learning

Table of Contents 1. Objective 2. Hands-on Tutorial 3. Conclusion 4. Frequently Asked Questions Objective The accumulation of dust, snow, bird droppings, and other elements on solar panels diminishes their efficiency which leads to a decrease in energy output. Monitoring and cleaning these panels are vital tasks. It underscores the

Migrate from Labelbox to Labellerr

Migrate from Labelbox to Labellerr

Labelbox is a cloud-based platform for labeling data for various AI applications, including computer vision, natural language processing, and more. It has features like active learning and collaboration tools. Features of LabelBox: Diverse annotation: Labelbox supports a wide range of annotation types, including bounding boxes, polygons, points, text, and audio

Migration from AWS GroundTruth to Labellerr

Migration from AWS GroundTruth to Labellerr

Amazon SageMaker Ground Truth is a service provided by Amazon Web Services (AWS) to help developers and data scientists build highly accurate training datasets for machine learning models. Ground Truth combines human labelers and machine learning algorithms to provide annotations for data. It allows users to efficiently label large datasets

Securely Migrate Data Labeling Tasks From CVAT To Labellerr

Securely Migrate Data Labeling Tasks From CVAT To Labellerr

CVAT stands for Computer Vision Annotation Tool. It is an open-source tool that is designed for annotating images and videos to create datasets for computer vision algorithms. CVAT provides users with a web-based interface that allows easy annotation of objects within images and videos. Features of CVAT: Data Annotation: CVAT

Migrate Data Labeling Project From Label Studio To Labellerr

How To Migrate Data Labeling Project From Label Studio To Labellerr

Label Studio is an open-source data labeling and annotation tool that helps you prepare high-quality training data for machine learning models. Features of Label Studio Flexibility: Label Studio supports various data types like images, text, audio, and video, making it suitable for a wide range of machine learning tasks. Annotation