computer vision - Labellerr

computer vision

A collection of 85 posts

How image labeling improves computer vision

Image Annotation

The Role of Image Labeling in Computer Vision

Explore the critical role of image labeling in computer vision, where annotated data enables AI models to recognize and interpret visual information accurately.

Logos of 7 computer vision libraries

computer vision

7 Best Computer Vision Development Libraries

Explore top computer vision libraries like OpenCV, TensorFlow, and CAFFE, powering diverse applications from facial recognition to autonomous vehicles. This guide covers features, use cases, pros, and cons, helping developers select tools for projects in fields like healthcare, robotics, and more.

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.

Top 10 Image Labeling and Annotation Tools for 2024

data annotation

10 Best Image Labeling & Annotation Tools

Discover the top image labeling tools to streamline your data annotation process. From auto-labeling to quality control features, these tools optimize AI model training and enhance accuracy in image classification and segmentation.

Tutorial To Leverage Open AI's CLIP Model For Fashion Industry

Tutorial To Leverage Open AI's CLIP Model For Fashion Industry

Discover how fine-tuning CLIP model can revolutionize fashion image recognition. Learn to optimize OpenAI's CLIP with domain-specific data for the fashion industry.

Object detection examples with multiple bounding boxes around persons and other objects

computer vision

Vision Transformers For Object Detection: A Complete Guide

Learn how ViT object detection models outperform traditional architectures by leveraging hierarchical layers. Discover the benefits of vision transformers in image segmentation and object recognition with detailed steps for fine-tuning and implementation

Daily Challenges and Learning of a Computer Vision Engineer

computer vision

A Day In The Life Of CV Engineer: Challenges & Learning

Computer Vision, a fascinating field at the intersection of computer science and artificial intelligence, holds the promise of granting machines the ability to "see" and understand the world. However, behind the glamour of self-driving cars and facial recognition systems lies a reality filled with challenges. Let’s dive

Recognize Anything: A Strong Image Tagging Model

computer vision

Recognize Anything: A Large Model For Multi Label Tagging

Explore the Recognize Anything Model (RAM), a cutting-edge solution for multi-label image tagging. RAM integrates high-quality data, a universal label system, and transformer-based architecture for enhanced recognition, enabling broader, zero-shot image tagging.

Parking Space Detection Model Using PyTorch

Parking Space Detection Model Using PyTorch and Super Gradients

Introduction Did you know that the average American commuter spends 17 hours per year looking for parking, costing $345 per driver in wasted time, fuel, and emissions. This parking problem not only causes frustration but also contributes to traffic congestion and pollution. In response, cities and businesses are increasingly using

Active Learning Model Working Process for Smarter AI

Active Learning: Less Data, Smarter Models

Active learning is a paradigm shift in the traditional supervised learning approach. Unlike passive learning, which relies on a pre-defined, static set of labeled data for training, active learning algorithms actively participate in the data selection process. This blog delves into the core concepts of active learning and its key

Exploring the COCO Dataset and its Applications

computer vision

Exploring the COCO Dataset and its Applications

The COCO (Common Objects in Context) dataset is a cornerstone for computer vision, providing extensive annotated data for object detection, segmentation, and captioning tasks. Discover its features and applications.

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.

Accelerate Car Damage Annotation With Labellerr's Auto Labeling

Accelerate Car Damage Annotation With Labellerr's Auto Labeling Using SAM

Table of Contents 1. Introduction 2. Challenge 3. Solution: Labellerr's Role in Car Damage Detection 4. Conclusion 5. Frequently Asked Questions Introduction In the automotive industry, assessing vehicle damage after accidents is a critical task for insurance claim processing, maintenance planning, and safety evaluations. In 2023, the American

Navigating Waste Sorting and Segregation: Labellerr's Transformative Role

Super Charge Waste Segmentation Annotation With Labellerr To Reduce Cost

Table of Contents 1. Introduction 2. Challenge 3. Solution: Labellerr's Role 4. Conclusion 5. Frequently Asked Questions Introduction In the world of energy, dealing with the problems of waste is really important. When nuclear facilities are shut down, the waste they leave behind is dangerous. Figuring out how

ML Guide on Cell Segmentation Using Watershed Algorithm

Cell Segmentation

ML Guide on Cell Segmentation Using Watershed Algorithm

Table of Contents 1. Introduction 2. Methodology 3. Conclusion 4. Frequently Asked Questions Introduction Cell segmentation plays a significant role in various fields within biotechnology and life sciences, enabling researchers to analyze cellular structures and functions with precision. One prominent technique employed for this purpose is the Watershed Algorithm, known

Healthcare IoT Data Annotation: Challenges & Solutions

Healthcare IoT Data Annotation: Challenges & Solutions

Table of Contents 1. Introduction 2. Understanding Healthcare IoT Data Annotation 3. Implementing Healthcare IoT Data Annotation 4. Challenges 5. Conclusion 6. Frequently Asked Questions Introduction The healthcare business has undergone tremendous development in recent years as a result of the integration of Internet of Things (IoT). IoT devices have

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

Innovative Care: Precision Medicine Empowered by Computer Vision

Computer Vision in Precision Medicine

Innovative Care: Precision Medicine Empowered by Computer Vision

Table of Contents 1. Introduction 2. Need of Computer Vision 3. Implementing a Model 4. Challenges and Considerations 5. Conclusion 6. Frequently Asked Questions Introduction Meet Sarah, a 42-year-old mother of two who is battling breast cancer. It's a difficult period for her, filled with anxiety about what

How Computer Vision Based Heat Mapping is Helping Retail

computer vision

How Computer Vision Based Heat Mapping is Helping Retail

Table of Contents 1. Introduction 2. Understanding Computer Vision-Based Heat Mapping 3. Applications 4. Frequently Asked Questions Introduction In today's rapidly evolving retail landscape, understanding customer behavior has become paramount for businesses striving to stay competitive. One innovative technology at the forefront of this endeavor is computer vision-based

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

The Role of AI in Power Line Inspections

The Role of AI in Power Line Inspections

Table of Contents 1. Introduction 2. Traditional Methods of Power Line Inspections 3. Role of AI 4. AI Solutions 5. Challenges and Considerations 6. Conclusion 7. Frequently Asked Questions Introduction Power lines are cables that carry electricity from power plants to homes, businesses, and other places where it's

In-depth guide to building a retail product checkout model

computer vision

ML Beginner's Guide To Self-Checkout Model

Table of Contents 1. Introduction 2. Prerequisites 3. Importing the Dataset 4. Preprocessing Data 5. Model Building 6. Training and Testing 7. Displaying Images 8. Deployment and Integration 9. Conclusion 10. Frequently Asked Questions Introduction A retail product checkout refers to the process of finalizing a purchase transaction at a

A complete guide to setup CVAT to perform data annotation

A Complete Guide To Setup CVAT To Perform Data Annotation

Learn how to set up CVAT, a powerful open-source tool for image and video annotation, essential for machine learning projects. This guide covers step-by-step setup, prerequisites, and insights on maximizing CVAT’s capabilities for precise data labeling.

A complete guide to set up Label Studio

A Complete Guide To Set Up Label Studio

Label Studio is a versatile open-source data annotation tool that empowers machine learning practitioners with a user-friendly interface. Label Studio supports annotation for various data types, including images, text, audio, and video. This flexibility makes it suitable for diverse machine learning tasks. The platform integrates seamlessly with popular machine learning