Top 7 No-Code AI Platforms That Are Making ML Accessible
No-code AI platforms are a hot trend that can be leveraged by businesses to help them automate tasks and make data-driven decisions. But which platforms are the best? But before getting into the details, let us understand what a no-code platform is. What is a No-Code Platform? There have been multiple attempts over the decades …
Read MoreEdge AI for Secure AI Applications
Edge AI is the future of artificial intelligence. This blog post will explore what Edge AI is and why it could be such an important part of our lives moving forward. What is Edge AI? Edge AI is a new trend in machine learning and artificial intelligence that processes data generated by a hardware device …
Read MoreGeospatial AI: A Data-Centric Approach for Growth & Development
GeospatialAI or GeoAI is an evolving field aiming to help organize, process, and analyze spatial big data with spatial science and AI methods like machine learning, deep learning, data mining, and high-performance computing. The increased availability of geospatial data, advancements in AI, and the availability of massive computing power have resulted in the mounting relevance …
Read MoreSynthetic Data: The Future of Computer Vision
The term “synthetic data” is used in computer vision to describe images that are generated by algorithms instead of being captured by a camera. These images are usually generated for training artificial intelligence (AI) models. The use of synthetic data has several advantages over real data. First, it is easier to get a large amount …
Read More6 Best Practices of Data Labeling for Object Detection Models
Data labeling is a process that involves adding target attributes to data and labeling them to train the machine and deep learning models. Data labeling is crucial in object detection to perform various computer vision tasks such as object segmentation, object counting, and object tracking. The potential benefits of AI-enabled technology for automating the decision-making …
Read MoreFace Recognition: The Emerging Tech of Biometrics
Face recognition technology is becoming more prevalent by opening up new opportunities for businesses and enterprises in terms of biometrics. It is by far the most advanced and relevant AI technology that can perform a wide range of tasks. Although the concept of face recognition was already invented during the 1960s, its technological breakthrough occurred …
Read MoreMachine Learning for OCR: Creating a Modern OCR Pipeline
Optical character recognition technology has a far way from recognizing just the text on computerized documents. The applications of OCR are transforming the future of data collection and processing. Whether it’s auto-extracting information from a scanned receipt or translating a foreign language using your phone’s camera, OCR technology has numerous applications that are continuously in …
Read MoreImage Similarity Using Deep CNN: Theory to Code
Image similarity is becoming popular in recent times. The ability of an image similarity model to find identical images with the utmost accuracy in defined data sets is helping in many ways. Finding plagiarized photos, identifying fake accounts, discovering original images of people, products, and places are a few of the image similarity real-world applications. …
Read MoreImage Annotation: Guide to Create Training Data for Computer Vision
Image annotation is one of the vital applications of computer vision, which allows the machines a high-level ability to deconstruct digital images or videos and interpret the visual information just like humans. Most of the remarkable applications of AI like self-driving cars, medical imaging, self-flying drones, etc., are only possible through image annotation. While image …
Read MoreSentiment Analysis: Analyze Your Social Audiences’ Opinions
Sentiment analysis is the application of text mining tools to identify the objective behind a piece of specified information and predicting the positive or negative outcomes out of it. Sentiment analysis helps businesses primarily to analyze social sentiments and get informed about the voice of the customers regarding a brand, product, or service. Sentiment analysis …
Read MoreTop 7 No-Code AI Platforms That Are Making ML Accessible
Edge AI for Secure AI Applications
Geospatial AI: A Data-Centric Approach for Growth & Development
Synthetic Data: The Future of Computer Vision
6 Best Practices of Data Labeling for Object Detection Models
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
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 In 2021
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 For 2022
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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