Text-Based Image Retrieval: Using Deep Learning
Text-based image retrieval (TBIR) systems use language in the form of strings or concepts to search relevant images. Computer Vision and Deep Learning algorithms analyze the content in the query image and return results based on the best-matched content. With the rapid advancement in Computer Vision and Natural Language Processing(NLP), understanding the semantics of text …
Read MoreObject Detection – A Simplified Solution
Object detection has grown significantly over the years. Classifying and finding an unknown number of individual objects within an image or video is considered as one of the challenging and impossible tasks that becomes a solution beyond what is required for image classification. Object detection is primarily powered by deep learning and convolutional neural networks …
Read MoreMachine Learning for Transformers – Explained with Language Translation
Day by day the number of machine learning models is increasing at a pace. With this increasing rate, it is hard for beginners to choose an effective model to perform Natural Language Understanding (NLU) and Natural Language Generation (NLG) mechanisms. Researchers across the globe are working around the clock to achieve more progress in artificial …
Read MoreUnderstanding Images from Pixel Level with Semantic Segmentation
Image Segmentation is considered a vital task in Computer Vision – along with Object Detection – as it involves understanding what is given in the image at a pixel level. It provides a comprehensive description that includes the information of the object, category, position, and shape of the given image. There are various algorithms for …
Read MoreHarnessing AI for an Effective COVID Vaccine Rollout
AI (artificial intelligence) has been a vital practice since the early days of the COVID-19. Tracking active patients count, analyzing thousands of scientific research papers for definitive treatment options, and in vaccine development processes AI has been widely used. The application of next-generation technology frameworks and digital tools not only helped in fastening healthcare operational …
Read MoreHow Machine Learning Can Ace Influencer Marketing Game?
Influencer marketing has grown significantly in the past few years. Due to the pervasive use of social media channels to promote products and services, influencer marketing can be considered as a new-age digital revolution. With a digitally empowered general populace, the CPG industry is now able to authenticate and communicate brand stories across distinct socials …
Read MoreSentiment Analysis -Constitute Customer Emotions For Better Service
The increasing demand to channelize customers’ emotions along with their positive and negative reactions for optimizing operations and increasing revenues. Analyzing these reactions and extracting intelligence from them will help brands gauge the ROI of their PR and marketing efforts. And this era of the internet is making it far much easier to collect opinions …
Read MoreComputer Vision-Navigating The Future Of Autonomous Vehicles
The autonomous vehicles segment has recently seen a tremendous growth, all thanks to computer vision. Classifying and detecting objects, signs, humans, other vehicles on the path, marking 3D maps, real-time traffic insights, etc., are a few research advancements in the field of computer vision. And these advancements are driving the growth of computer vision in …
Read MoreComputer Vision in Manufacturing for Industrial Automation & Transformation
Though various forms of computer vision (A.K.A machine vision) are used in manufacturing for decades, the recent advancements in machine learning and computer vision are increasing the demand and need for computer vision applications on the shop floor. According to Grand view research, the global market for computer vision technology is expected to reach USD …
Read MoreDisruptive Machine Learning Trends
Machine Learning (ML) is one of the most disruptive trends of all time. With an increasing number of organizations indulging it today, Machine Learning (ML) technology is becoming one of the most powerful applications. While businesses are adopting transformation, it subsequently is speeding up the growth of ML and other supporting tools of ML. As …
Read MoreLLM-Based Document Extraction: Decoding Data
Illuminating Advances in Diabetes Wound Detection with AI
Building Comprehensive Datasets for No-Code AI
Conversational AI Meets No-Code: A Business Revolution
No-Code Data Extractor Models: Simplifying Complex Tasks
Safeguarding Aadhaar Numbers with No-Code AI Masking Models
Simplifying PAN Data Extraction with No-Code AI
Image Background Removal: The Future of Image Editing
How No-Code AI Platforms Are Making Signature Detection Easier
Aadhaar Data Extraction – The No-Code AI Way
Efficient Parking Management with No-Code AI
Optimizing Customer Service with Text Moderation in Chatbots
No-Code AI: Unlocking the Power of NLP & Computer Vision
No-code People and Vehicle Detection Model for Video Surveillance
Enhancing Customer Insights with AI-Powered Sentiment Analysis
DeepLobe’s Table Extractor for Insurance Data Entry
Ensuring Public Safety with Face Detection Using No Code AI
10 Ways to Use PII Data Extractor to Protect Your Customers’ Privacy
Enabling Health and Fitness Apps with Human Pose Detection Using No-Code AI
Solving Industrial Challenges with Instance Segmentation
Extract PII with No-code
Top 15 Industrial Applications for Image Classification
Semantic Segmentation: The Key to Industrial Efficiency
Image Segmentation: The Most Interesting Applications
Using Image Similarity in Business: Benefits and Applications
Advancements in OCR: Top 20 Industrial Applications
Exploring Object Detection Applications and Benefits
Top 7 No-Code AI Platforms That Are Making AI Accessible
Edge AI for Secure AI Applications
Geospatial AI: A Data-Centric Approach for Growth & Development
Synthetic Data: The Future of Computer Vision
Data Labeling for Object Detection: Best Practices
Face Recognition: The Emerging Tech of Biometrics
Machine Learning for OCR: Creating a Modern OCR Pipeline
Image Similarity Using Deep CNN: Theory to Code
Image Annotation: Guide to Create Training Data for Computer Vision
Sentiment Analysis: Analyze Your Social Audiences’ Opinions
Top 10 Ways Deep Learning Is Scaling Computer Vision Applications
Low & No-Code ML Platforms: The Future of Application Development
Deep CNN for Image Classification: How it Makes a Difference
Text-Based Image Retrieval: Using Deep Learning
Object Detection – A Simplified Solution
Machine Learning for Transformers – Explained with Language Translation
Understanding Images from Pixel Level with Semantic Segmentation
Harnessing AI for an Effective COVID Vaccine Rollout
How Machine Learning Can Ace Influencer Marketing Game?
Sentiment Analysis -Constitute Customer Emotions For Better Service
Computer Vision-Navigating The Future Of Autonomous Vehicles
Computer Vision in Manufacturing for Industrial Automation & Transformation
Disruptive Machine Learning Trends
Building Smart Cities: The Role of Artificial Intelligence & Machine Learning
Computer Vision for Smart and Sustainable Agriculture
Revolutionizing Retail With Computer Vision & Deep Learning
Extracting Business Value With Image Processing
OCR & Computer Vision -Creating a Modern Algorithm
Intertwining Machine Learning and APIs
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