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Cameras’ biggest recent advancements have come from AI, not sensors and lenses. Over the past couple of years, technology has enabled staggering advances in photography. AI is transforming both the way we shoot photos and how we edit them. As ‘computer vision’ becomes an important part of other new... Read more
Data Science in Manufacturing: An Overview
In the last couple of years, data science has seen an immense influx in various industrial applications across the board. Today, we can see data science applied in health care, customer service, governments, cybersecurity, mechanical, aerospace, and other industrial applications. Among these, manufacturing has gained more prominence to achieve... Read more
Creativity Inspired Zero-shot Learning
Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of zero-shot learning, we model the visual learning process of unseen categories with inspiration from the psychology of human creativity for producing novel art. We relate ZSL to human... Read more
Working Towards Planetary Scale Location Insights
Approaches for making geospatial imagery accessible to (geo)data scientists Recent innovations in agile aerospace have created unique offerings in high cadence satellite imagery. While this is of immense interest to imagery analysts, a significant portion of GIS professionals and geo-data scientists work less with raster data (AKA imagery) and... Read more
Smart Image Analysis for Omnichannel Retail Applications
Editor’s note: Abon is a speaker for ODSC West this Fall! Consider attending his talk, “Computer Vision for E-Commerce: Intelligent Analysis and Selection of Product Images at Scale” then. In retail, the role of product images is critical in delivering satisfactory customer experience. Images help online shoppers gain confidence... Read more
A Manager’s Guide to Starting a Computer Vision Program
So you’re thinking of starting a computer vision program, but you’ve realized now that the logistics are overwhelming. What framework do you use? What infrastructure? Do you go with an out of the box solution or take the time to build your own? Cloud GPU or on-premise? What’s your... Read more
Watch: A Manager’s Guide to Starting a Computer Vision Program
This talk by Ali Vanderveld provides you with a guide for data science leaders and managers who are thinking about starting a computer vision program. It will help you think through a set of sequential questions that you’re likely to encounter along the way: [Related Article: 4 Steps to... Read more
4 Steps to Start Machine Learning with Computer Vision
In 2012, AlexNet took first place at the ImageNet Large Scale Visual Recognition Challenge, marking the first time a convolutional neural network had won the image classification competition. One more factor that made this achievement much more significant is that AlexNet showed twice the accuracy than the second-place participant.... Read more
Learn How to Organize, Cleanup and Process Medical Image Datasets for Computer Vision Training
We are entering a whole new world where the possibility for AI, and more specifically computer vision, can help us with medical decision making that we’ve relied on doctors to perform. Moreover, while the hope of having doctor-less diagnoses is still a work of science fiction, every day we... Read more
Want to Train Computer Vision Models 100x Faster? Meet MissingLink.ai
To stay competitive, large and small organizations are turning to deep learning and AI for faster innovation. They strive to create value, improve customer experience and ship faster to differentiate themselves from the competition, so they place tremendous pressure and demands on their data science teams to deliver fast.... Read more