Remove Computer Vision Remove Convolutional Neural Networks Remove Demo
article thumbnail

Computer Vision Jobs that are Not Computer Vision Engineer

Viso.ai

As many areas of artificial intelligence (AI) have experienced exponential growth, computer vision is no exception. According to the data from the recruiting platforms – job listings that look for artificial intelligence or computer vision specialists doubled from 2021 to 2023.

article thumbnail

Image Reconstruction With Computer Vision – 2024 Overview

Viso.ai

Image reconstruction is an AI-powered process central to computer vision. In this article, we’ll provide a deep dive into using computer vision for image reconstruction. About Us: Viso Suite is the end-to-end computer vision platform helping enterprises solve challenges across industry lines.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

AI Emotion Recognition and Sentiment Analysis (2025)

Viso.ai

AI emotion recognition is a very active current field of computer vision research that involves facial emotion detection and the automatic assessment of sentiment from visual data and text analysis. provides the end-to-end computer vision platform Viso Suite. Get a personalized demo for your organization.

article thumbnail

Supervised vs Unsupervised Learning for Computer Vision (2024 Guide)

Viso.ai

In the field of computer vision, supervised learning and unsupervised learning are two of the most important concepts. In this guide, we will explore the differences and when to use supervised or unsupervised learning for computer vision tasks. Get a demo for your organization. About us: Viso.ai About us: Viso.ai

article thumbnail

Best Lightweight Computer Vision Models

Viso.ai

Computer vision models enable the machine to extract, analyze, and recognize useful information from a set of images. Lightweight computer vision models allow the users to deploy them on mobile and edge devices. About us: Viso Suite allows enterprise teams to realize value with computer vision in only 3 days.

article thumbnail

Lotus: A Diffusion-based Visual Foundation Model for Dense Geometry Prediction

Marktechpost

Dense geometry prediction in computer vision involves estimating properties like depth and surface normals for each pixel in an image. Existing methods for dense geometry prediction typically rely on supervised learning approaches that use convolutional neural networks (CNNs) or transformer architectures.

article thumbnail

4 Applications of Intelligent Waste Management [2025]

Viso.ai

This is where computer vision technology can help identify waste, separate it, and ensure its proper disposal. In this article, we will propose computer vision as an effective tool for waste management. For truly solving real-world scenarios, organizations require more than just a computer vision tool or algorithm.