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A guide to text detection and recognition using MMOCR


Optical character recognition (OCR) is a sort of image conversion that basically extracts text from a given image, a document photo, etc. Various applications and technologies, such as Adobe Acrobat and the ML-based tool, such as Tesseract OCR, have been developed to aid with this process. In this article, we will go over tasks performed in the OCR method. Thereafter, we will look into MMOCR, a Python-based application that centralizes all OCR-related operations. Below are major points listed that are to be discussed in this article. Let's first discuss text detection.

4 Ways Artificial Intelligence Can Improve Help Desk Management - Toolbox


With more people working remotely these days, helpdesk and IT service management are under more pressure than ever. Thankfully, artificial intelligence can help. Keep reading this article by Devin Partida, business technology editor,, to learn how AI can benefit help desk management.

Artificial Intelligence Delivers a More Enlightened Framework for Marketing - Toolbox


It is safe to say that today's marketing technologies present remarkable opportunities as well as enormous challenges. On the one hand, it is possible to scale campaigns and reach consumers in ways that were once unimaginable. On the other hand, consumers feel increasingly numb to the onslaught of messages and content they receive. As a result, they often disregard emails, promoted posts, and pop-ups without even glancing at them. At the heart of all this is a basic fact: it is incredibly easy and relatively inexpensive to flood consumers with digital messaging, but a scattershot approach, even if it's cheap, isn't necessarily better.

Top 10 Open Source Artificial Intelligence Software in 2021 - Toolbox


Chiradeep is a content marketing professional, a startup incubator, and a tech journalism specialist. He has over 11 years of experience in mainline advertising, marketing communications, corporate communications, and content marketing. He has worked with a number of global majors and Indian MNCs, and currently manages his content marketing startup based out of Kolkata, India. He writes extensively on areas such as IT, BFSI, healthcare, manufacturing, hospitality, and financial analysis & stock markets. He studied literature, has a degree in public relations and is an independent contributor for several leading publications.

Azure Machine Learning for Medical Imaging


AzureML provides a deep learning toolbox that can be used to train medical images (or, more generally, 3D images) and has integrated seamlessly with the Azure cloud. It is possible to build classification, regression, and sequence models from only images or a combination of images and non-imaging data. It supports use cases related to medical data where measurements, biomarkers, or patient characteristics are often available along with images. This toolbox aims to help machine learning teams achieve more on the user side. The platform is based on cloud computing, utilising Azure Machine Learning Services (AzureML) for execution, bookkeeping, and visualisation.

Top AI Trends for 2022: 10 Expert Insights on How AI Will Evolve Next Year - Toolbox


Emerging technologies, such as artificial intelligence and machine learning, will play a leading role in influencing operational efficiency and business decision-making in 2022. The reliance on these technologies is such that according to Gartner, the worldwide AI software market will reach $62 billion in 2022. Let's hear from experts on ways AI will evolve in 2022 to enable new use cases for businesses of all sizes. Myles Gilsenan, the vice president of data, analytics, and AI at Apps Associates, believes that AI will continue to evolve and transform industries, businesses, and our day-to-day lives. "2022 is shaping up to be an important evolutionary year as a broad array of AI disciplines are becoming more mature and easier to build and deploy," he said.

Deep learning deciphers what rats are saying


For many years, researchers knew that rodents' squeaks tell a lot about how the animals are feeling. Much like a wagging tail on a dog, certain vocalizations indicate the rodents are happy. Conversely, other vocalizations indicate the rodents are stressed, or even depressed. But why were they interested in the rodents' moods? These researchers wanted to understand the rodents' responses to various stimuli.

2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track Artificial Intelligence

In this technical report, we present our approaches for the continual object detection track of the SODA10M challenge. We adapt ResNet50-FPN as the baseline and try several improvements for the final submission model. We find that task-specific replay scheme, learning rate scheduling, model calibration, and using original image scale helps to improve performance for both large and small objects in images. Our team `hypertune28' secured the second position among 52 participants in the challenge. This work will be presented at the ICCV 2021 Workshop on Self-supervised Learning for Next-Generation Industry-level Autonomous Driving (SSLAD).

AutoML just another tool in your toolbox


Any task trying to automate parts of the machine learning workflow can be called Automated Machine Learning (AutoML). AutoML tries to encapsulate the steps we used to perform manually, helping us become more efficient, save money and also stay innovative. Before we get started with automated machine learning, let's refresh our memory with what I call "handcrafted machine learning". If you are familiar with machine learning, you know what it means to create a model, from the initial idea all the way to production. The first step requires choosing a machine learning framework like PyTorch or TensorFlow.

Top Machine Learning Projects that Can be Done Using Python


Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Pylearn2 is a library designed to make machine learning research easy. The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns.