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A Comprehensive Guide on Deep learning for Computer vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications.

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18 All-Time Classic Open Source Computer Vision Projects for Beginners

Analytics Vidhya

Overview Open source computer vision projects are a great segway to landing a role in the deep learning industry Start working on these 18. The post 18 All-Time Classic Open Source Computer Vision Projects for Beginners appeared first on Analytics Vidhya.

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Deep Learning for Image Segmentation with TensorFlow

Analytics Vidhya

Introduction Image segmentation is a task in computer vision that involves dividing a particular image into multiple segments where each segment represents an object or region in the image. This task is important for applications such as object detection, image recognition, and autonomous driving.

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Top Computer Vision Courses

Marktechpost

Computer vision is rapidly transforming industries by enabling machines to interpret and make decisions based on visual data. Learning computer vision is essential as it equips you with the skills to develop innovative solutions in areas like automation, robotics, and AI-driven analytics, driving the future of technology.

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Enhancing AI-Powered Computer Vision Through Physics-Awareness

Unite.AI

In a pioneering effort to further enhance AI capabilities, researchers from UCLA and the United States Army Research Laboratory have unveiled a unique approach that marries physics-awareness with data-driven techniques in AI-powered computer vision technologies.

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Your Social Distancing Detection Tool: How to Build One using your Deep Learning Skills

Analytics Vidhya

Overview Learn how to build your own Social Distancing Tool using your Deep Learning and Computer Vision skills Understand the State-of-the-Art architectures (SOTA) for. The post Your Social Distancing Detection Tool: How to Build One using your Deep Learning Skills appeared first on Analytics Vidhya.

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RetinaNet : Advanced Computer Vision

Analytics Vidhya

Focal loss applies a modulation term to the cross-entropy loss to focus learning on hard negative examples. The post RetinaNet : Advanced Computer Vision appeared first on Analytics Vidhya. Retina-Net is a single unified […].