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10 Examples of Computer Vision Applications | Wovenware

17 Examples of Computer Vision Applications in Action

How to benefit from computer vision applications As a company deeply rooted in the U.S., our focus is on showcasing how computer vision, driven by advanced technologies like deep learning, is reshaping industries and societies across the nation. From revolutionizing the automotive industry's pursuit of self-driving cars to enhancing disaster relief efforts, agriculture practices, healthcare…

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Anchor Boxes in Object Detection: When, Where and How to Propose Them for Deep Learning Apps

✕ Perhaps you’re well on your way to learning about computer vision and have studied in-depth, all about image classification and sliding window detectors. After grasping these concepts, the leap to understanding state-of-the-art (SOTA) object detection can often become daunting and obscure, especially when it comes to understanding anchor boxes. Needless to say, diving into a…

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Wovenware Logo at Office

Wovenware Included in Landscape Overview of Computer Vision Providers by Independent Research Firm

We are thrilled to announce that Wovenware has been recognized as a prominent player in the computer vision industry. In this blog post, we delve into an independent research firm's landscape overview and explore how our cutting-edge solutions and expertise have positioned us at the forefront of this rapidly evolving field. Discover why Wovenware is the go-to partner for businesses seeking innovative computer vision solutions to drive growth and unlock new possibilities.

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Putting Computer Vision and AI Applications into Focus

Putting Computer Vision Applications into Focus

Deep Learning-Based Computer Vision Just a few short years ago, computer vision was seen as something that held great potential but which wasn’t quite there yet. Today, thanks to advances in AI, more affordable GPU capacity and an accumulation of data and the means to train it, computer vision and ai applications are becoming strategic…

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Deep Learning Object Finder Model in Satellite Images

Bringing it On During DIUx xView 2018 Detection Challenge

Wovenware’s Data Science team has been working with state-of-the-art Convolutional Neural Networks (CNNs) for some time now as part of our deep learning and machine learning AI projects.  To share this experience with others in the industry, we recently participated in the DIUx xView 2018 Detection Challenge. The contest asked participants to bring their best…

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