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labellerr

A collection of 100 posts

Get Full Visibility In Data Annotation Project With 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

Track Annotators Activities With Labellerr's Analytics Dashboard

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,

Save Time & Cost On Data Labeling With Auto-Label Feature

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

Precise Segmentation using Labellerr's Transparency Adjustment

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

Streamlining Annotation Feedback Using Labellerr's Remarks Tags

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

Get Labeled Data In Multiple Format With Labellerr

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

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

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

Security and Surveillance Using Face Detection Systems

How Face Detection Transforms Security and Surveillance

Introduction In the past 10 years, the worldwide security market has grown a lot, reaching a huge $380.6 billion in 2023. This big increase shows that we need new and smart ideas to make security better. Computer Vision is great for this, and it can help make our security

Integration of Vehicle Surveillance and Computer Vision

computer vision

How Computer Vision Based Vehicle Surveillance Enhance Road Safety

Table of Contents 1. The Intersection of Vehicle Surveillance and Computer Vision 2. Benefits of Integrating Computer Vision in Vehicle Surveillance 3. Applications of Computer Vision in Vehicle Surveillance 4. Importance of Vehicle Surveillance Techniques 5. How to Use Vehicle Surveillance Techniques 6. Synergizing Vehicle Surveillance and Computer Vision for

Data Annotation & Labeling Service Providers

Data Annotation Services

10 Best Data Annotation & Labeling Service Providers

AI data annotation services play a crucial role in training machine learning models by accurately labeling data. This article reviews the top 10 providers for 2024, helping you choose the right service.

Best Audio Annotation & Labeling Service Providers

Audio Annotation Services

10 Best Audio Annotation & Labeling Service Providers In 2025

In 2025, top audio annotation service providers include Labellerr, Appen, Scale AI, Lionbridge AI, iMerit, Hive Data, SuperAnnotate. These platforms specialize in transcribing, labeling, and categorizing audio for AI applications, offering scalability, precision, and multilingual support.

Executing NER Project On Labellerr Integration With AWS Sagemaker

Executing NER Project On Labellerr Integration With AWS Sagemaker

Table of Contents 1. Introduction 2. What is data annotation? 3. Model Building 4. Conclusion Introduction Natural Language Processing (NLP) has become an integral part of many applications, from chat bots to sentiment analysis. In this hands-on guide, we'll walk through the entire process of Name Entity Recognition

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,

Future Trends in Image Annotation

data annotation

Future Trends in Image Annotation

Image annotation involves adding labels to images to facilitate AI and machine learning model training. Typically, human annotators use specialized tools to mark images, attaching relevant information, such as assigning specific classes to various entities within an image. The resultant structured data is then utilized to train a machine learning

Challenges and Solutions in Image Annotation

Image Annotation

Image Annotation: Challenges & Their Solutions

Creating a machine learning (ML) and artificial intelligence (AI) model that emulates human capabilities requires extensive training data. The model must be trained to recognize specific objects, enabling it to make informed decisions and take appropriate actions. The datasets used for training must be meticulously categorized and labeled according to

Best Practices In Image Annotation: Concluding in Brief

computer vision

A Detailed Guide To Best Practices In Image Annotation

In our previous blogs, we learn about what image annotation is and saw an overview of where Image Annotation can be applied. Image annotation plays a pivotal role in the training of machine learning models, as the accuracy of annotations is essential for your model's ability to identify

Hands-on With Vision Transformers in Video Classification

computer vision

Tutorial On Using Vision Transformers In Video Classification

Explore using Vision Transformers in video classification with this tutorial by Akshit Mehra. Learn to adapt image models to handle sequences of frames, utilizing ViViT and the OrganMNIST3D dataset for effective video analysis.

Vision Transformer in Leaf Disease Classification

computer vision

Vision Transformers For Identification of Healthy and Diseased Leaves - Tutorial

This blog shows how we can utilize a vision transformer for an Image classification tasks. Particularly, we use Leaf disease classification dataset.

Results Of CLIP's Zero-Shot Performance Over OCR Dataset

computer vision

Results Of CLIP's Zero-Shot Performance Over OCR Dataset

CLIP demonstrates potential in zero-shot learning for OCR by classifying text sentiment images with 50% accuracy. Its ability to associate images with text enables it to adapt to unseen concepts, though precision (40%) reveals room for improvement through fine-tuning

Comparison between Labellerr and different open source tools

Common Challenges and Solutions for Free Data Labeling Tools

Table of Contents 1. LabelMe 2. VGG Image Annotator (VIA) 3. Make Sense 4. Imglab 5. Why Labellerr 6. Conclusion 7. Frequently Asked Questions Data labeling is of utmost importance in the field of machine learning and artificial intelligence as it provides labeled data, acting as ground truth, essential for

LabelGPT: Revolutionizing Computer Vision with AI-Powered Data Annotation

Elevating ML: AI-Driven Data Annotation with LabelGPT

Table of Contents 1. Introduction 2. Pre-requisite Concepts for Automated Data Labelling 3. About Foundation Models 4. Overview of Zero-Shot Learning and Its Role in Automated Data Labeling 5. Generative AI-Powered Prompt-Based Data Labeling 6. LabelGPT 7. How LabelGPT Works 8. Benefits of LabelGPT 9. Conclusion 10. Frequently Asked Questions

Training object detection AI model with Labellerr

Training your object detection AI model with Labellerr

The development, training, and application of algorithms for machine learning that simulate sound decisions based on accessible facts are known as the AI model. When it comes to object detection AI models, the process of collecting, training, and evaluating the model becomes hectic without any support from any data training