Mlearning.ai

JUNE 4, 2023

Things I wish I knew before I started computer vision Python will not save you! Computer Vision is where you see the world with your eyes and explain it to a computer and make it look at the world the same way that you do. Edge Devices are tiny computers with some GPU memory.

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Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. After you create a free account, you’ll have access to the best machine learning datasets. Importance and Role of Datasets in Machine Learning Data is king.

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Viso.ai

APRIL 2, 2024

3D Computer Vision is a branch of computer science that focuses on acquiring, image processing , and analyzing three-dimensional visual data. 3D vision techniques use information from sources like cameras or sensors to build a digital understanding of the shapes, structure, and properties of objects in a scene.

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IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other? Machine learning is a subset of AI.

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Heartbeat

MARCH 14, 2023

The goal of computer vision research is to teach computers to recognize objects and scenes in their surroundings. In this article, I would like to take a look at the current challenges in the field of robotics and discuss the relevance and applications of computer vision in this area.

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Towards AI

FEBRUARY 5, 2024

However, thanks to the amazing Digital Health team of the Stanford Byers Center for Biodesign, I was able to try the new Apple Vision Pro and have some discussion about its potential in computer vision and healthcare. optical microscopes and loupes) to a direct digital input — the dream of every computer vision researcher.

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Towards AI

MARCH 5, 2024

7 OpenCV Python Functions That Will Revolutionize Your Computer Vision Projects.Photo by Greg Rakozy on Unsplash OpenCV is a well-known open-source library for computer vision in Python. It was originally developed by Intel and allows users a wide range of computer vision features.

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Viso.ai

DECEMBER 6, 2023

Computer vision (CV) is a rapidly evolving area in artificial intelligence (AI), allowing machines to process complex real-world visual data in different domains like healthcare, transportation, agriculture, and manufacturing. Future trends and challenges Viso Suite is an end-to-end computer vision platform.

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Heartbeat

APRIL 30, 2023

Photo by Comet ML Introduction In the field of computer vision, Kangas is one of the tools becoming increasingly popular for image data processing and analysis. Similar to how Pandas revolutionized the way data analysts work with tabular data, Kangas is doing the same for computer vision tasks. Have you tried Comet?

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IBM Journey to AI blog

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Towards AI

FEBRUARY 3, 2024

(Left) Photo by Pawel Czerwinski on Unsplash U+007C (Right) Unsplash Image adjusted by the showcased algorithm Introduction It’s been a while since I created this package ‘easy-explain’ and published on Pypi. A few weeks ago, I needed an explainability algorithm for a YoloV8 model. The truth is, I couldn’t find anything.

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PyImageSearch

JANUARY 30, 2023

This last blog of the series will cover the benefits, applications, challenges, and tradeoffs of using deep learning in the education sector. To learn about Computer Vision and Deep Learning for Education, just keep reading. Task Automation AI software can easily handle repetitive, manual tasks (e.g.,

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Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].” It detects corners.

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Heartbeat

MARCH 5, 2024

Image by istockphoto Computer vision has become a ground-breaking area in artificial intelligence and machine learning with revolutionary applications. Computer vision's primary goal is to extract meaningful information from visual input to make decisions or take actions in response to the information.

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Flipboard

SEPTEMBER 4, 2023

Home Table of Contents Getting Started with Docker for Machine Learning Overview: Why the Need? How Do Containers Differ from Virtual Machines? Finally, we will top it off by installing Docker on our local machine with simple and easy-to-follow steps. Or requires a degree in computer science? What Are Containers?

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Heartbeat

AUGUST 14, 2023

Well, image segmentation in computer vision is a bit like playing a high-tech version of Tetris! So get ready to flex your Tetris skills and dive into the fascinating world of image segmentation in computer vision! Have you ever played Tetris?

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Marktechpost

DECEMBER 14, 2023

Many branches of biology, including ecology, evolutionary biology, and biodiversity, are increasingly turning to digital imagery and computer vision as research tools. This requires a great deal of machine learning knowledge and time. If you like our work, you will love our newsletter.

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PyImageSearch

MAY 8, 2023

Home Table of Contents Introduction to Causality in Machine Learning Correlation and Causation Case Study 1: A “Marvelous” Problem Scenario 1: A Direct Cause Scenario 2: Reversing the Cause and Effect Scenario 3: Investigating a Hidden Cause Causal Thinking Case Study 2: Food App Conundrum Quiz Time! Let’s find out.

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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Heartbeat

OCTOBER 9, 2023

Computer Vision for Cultural Heritage Preservation: Unlocking the Past with Advanced Imaging Technology Image Source: Technology Innovators Preserving our cultural legacy is critical because it allows us to remain in touch with our past, learn our roots, and appreciate humanity's rich history.

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Heartbeat

NOVEMBER 1, 2023

From surveillance systems that safeguard our cities to autonomous vehicles navigating our roads, object tracking has emerged as a fundamental technology in computer vision. Object tracking is an essential application of deep learning extensively used in computer vision. What is Object Tracking?

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Unite.AI

APRIL 9, 2024

These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs. Explainability is essential for accountability, fairness, and user confidence. Transparency is fundamental for responsible AI usage.

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PyImageSearch

JANUARY 2, 2023

Computer Vision and Deep Learning for Oil and Gas Computer Vision and Deep Learning for Transportation Computer Vision and Deep Learning for Logistics Computer Vision and Deep Learning for Healthcare (this tutorial) Computer Vision and Deep Learning for Education To learn about Computer Vision and Deep Learning for Healthcare, just keep reading.

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Heartbeat

SEPTEMBER 20, 2023

Pixabay: by Activedia Image captioning combines natural language processing and computer vision to generate image textual descriptions automatically. Image captioning integrates computer vision, which interprets visual information, and NLP, which produces human language.

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Viso.ai

MAY 10, 2024

Whether you’re building a consumer app to recognize plant species or an enterprise tool to monitor office security camera footage, you are going to need to build a Machine Learning (ML) model to provide the core functionality. Building a machine learning model consists of 7 high-level steps: 1.

Machine Learning 52

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Towards AI

FEBRUARY 13, 2024

Introduction It’s been a while since I created this package ‘easy-explain’ and published it on Pypi. GradCam is a widely used Explainable AI method that has been extensively discussed in both forums and literature. We also assume that the package has been installed via “pip install easy-explain”. So, let’s import the libraries.

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Heartbeat

MAY 22, 2023

Photo by Andrea Piacquadio: [link] Computer vision is one of the most widely used and evolving fields of AI. It gives the computer the ability to observe and learn from visual data just like humans. In this process, the computer derives meaningful information from digital images, videos etc.

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Heartbeat

OCTOBER 11, 2023

A key component of artificial intelligence is training algorithms to make predictions or judgments based on data. This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Machine Learning?

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Becoming Human

MAY 12, 2023

In what ways do we understand image annotations, the underlying technology behind AI and machine learning (ML), and its importance in developing accurate and adequate AI training data for machine learning models? Overall, it shows the more data you have, the better your AI and machine learning models are.

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Marktechpost

AUGUST 24, 2023

In the fast-paced world of Artificial Intelligence (AI) and Machine Learning, staying updated with the latest trends, breakthroughs, and discussions is crucial. Here’s our curated list of the top AI and Machine Learning-related subreddits to follow in 2023 to keep you in the loop. With over 2.5 It has over 37.4k

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Viso.ai

FEBRUARY 8, 2024

These deep learning algorithms consist of latent variables and use them to learn underlying patterns within the data. provides a robust end-to-end no-code computer vision solution – the Viso Suite. This greedy layer-wise learning allows for efficient feature learning. Geoffrey Hinton et al.

Explainability 52

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AWS Machine Learning Blog

SEPTEMBER 8, 2023

This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. Finally, there is no labeled data available for training a supervised machine learning model.

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Pickl AI

JULY 17, 2023

Machine Learning is a subset of artificial intelligence (AI) that focuses on developing models and algorithms that train the machine to think and work like a human. It allows computers to acquire knowledge and make predictions or decisions without being specifically programmed.

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AWS Machine Learning Blog

JANUARY 25, 2023

Model explainability refers to the process of relating the prediction of a machine learning (ML) model to the input feature values of an instance in humanly understandable terms. This field is often referred to as explainable artificial intelligence (XAI). The following diagram illustrates an example.

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Heartbeat

FEBRUARY 15, 2024

In the ever-evolving realm of artificial intelligence, computer vision is a crucial discipline that enables machines to interpret and glean insights from visual data. As we embark on this exploration, let’s unveil the prowess of HOG in the world of computer vision. imread('example_image.jpg', cv2.IMREAD_GRAYSCALE)

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Unite.AI

MARCH 27, 2024

Back then, people dreamed of what it could do, but now, with lots of data and powerful computers, AI has become even more advanced. Today, AI benefits from the convergence of advanced algorithms, computational power, and the abundance of data. Along the journey, many important moments have helped shape AI into what it is today.

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Heartbeat

JANUARY 29, 2024

Photo by Brett Jordan on Unsplash In the ever-evolving landscape of artificial intelligence and machine learning, researchers and practitioners continuously seek to elevate the capabilities of intelligent systems. Among the myriad breakthroughs in this field, Meta-Learning is pushing the boundaries of machine learning.

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