Image Recognition: Past, Present, and Future
Editor’s note: Oliver is a speaker for ODSC West 2022 this November. Be sure to check out his talk, “Image Recognition with OpenCV and TensorFlow,” there! Let’s say you run a factory producing rings and want to tell the two models you have from each other.... Read more
Overcoming ImageNet dataset biases with PASS
ImageNet is one of the most widely used datasets in Computer Vision applications. However, studies have shown biases prevalent in this dataset based on the collection methodology and the types of images present. In this respect, a team of researchers at the Visual Geometry Group, the University of... Read more
Benchmarking a Computer Vision Deep Learning Pipeline with Distributed Computing
Editor’s Note: Jennifer is a speaker for ODSC East 2022. Be sure to check out her talk, “Creating a Benchmark for a Large-Scale Image Captioning Pipeline,” to learn more about computer vision deep learning there! Computer vision has an essential role in solving some of the... Read more
Computer Vision & Data Annotation – An Easy Way of Understanding the Relevance in the Real World
Here, you will find a brief explanation of computer vision, some cases we are experiencing in real life, and some of the existent techniques in data annotation supporting the advance of computer vision. I want to highlight upfront that I’m not approaching any computer vision algorithms... Read more
Adversarial Image Explanation Through Alibi
Deep learning-based computer vision has plenty of real-life applications. In particular, Convolutional Neural Network (CNN) architectures are commonly used across multiple CV tasks as they have high accuracy. But their strength leads also to a weakness point, as a little perturbation to an input image/frame can... Read more
Dataset Management for Computer Vision
When building computer vision solutions, the emphasis is usually on the modeling side and on leveraging the latest algorithm. While the model is important, in my experience I have found that an even more important component to delivering a successful solution is to build and maintain... Read more
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... 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... Read more
Creativity Inspired Zero-Shot Learning: Classifying Unseen Classes
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... Read more
Working Towards Planetary Scale Location Insights
Approaches for making geospatial imagery accessible to (geo)data scientists. This post discusses planetary scale location insights. 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... Read more