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Training a Custom Image Classification Network for OAK-D

PyImageSearch

Table of Contents Training a Custom Image Classification Network for OAK-D Configuring Your Development Environment Having Problems Configuring Your Development Environment? Furthermore, this tutorial aims to develop an image classification model that can learn to classify one of the 15 vegetables (e.g.,

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Segment Anything Model (SAM) Deep Dive – Complete 2024 Guide

Viso.ai

The Segment Anything Model (SAM), a recent innovation by Meta’s FAIR (Fundamental AI Research) lab, represents a pivotal shift in computer vision. SAM performs segmentation, a computer vision task , to meticulously dissect visual data into meaningful segments, enabling precise analysis and innovations across industries.

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TinyML: Applications, Limitations, and It’s Use in IoT & Edge Devices

Unite.AI

Vision Based Applications TinyML has the potential to play a crucial role in processing computer vision based datasets because for faster outputs, these data sets need to be processed on the edge platform itself. The results obtained from the setup were accurate, the design was low-cost, and it delivered satisfactory results.

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Building and Deploying CV Models: Lessons Learned From Computer Vision Engineer

The MLOps Blog

With over 3 years of experience in designing, building, and deploying computer vision (CV) models , I’ve realized people don’t focus enough on crucial aspects of building and deploying such complex systems. Hopefully, at the end of this blog, you will know a bit more about finding your way around computer vision projects.

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Introduction to Graph Neural Networks

Heartbeat

Graph Neural Networks are a class of artificial neural networks that can be represented as graphs. Different Graph neural networks tasks [ Source ] Convolution Neural Networks in the context of computer vision can be seen as GNNs that are applied to a grid (or graph) of pixels.

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Human Pose Estimation with Deep Learning – Ultimate Overview in 2024

Viso.ai

Pose estimation is a fundamental task in computer vision and artificial intelligence (AI) that involves detecting and tracking the position and orientation of human body parts in images or videos. provides the leading end-to-end Computer Vision Platform Viso Suite. Get a demo for your organization.

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Google Research, 2022 & Beyond: Language, Vision and Generative Models

Google Research AI blog

I will begin with a discussion of language, computer vision, multi-modal models, and generative machine learning models. Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. Let’s get started!