Prithvi: NASA Model and Dataset for Ecological Phenomena Analysis

6 August 2023
prithvi

Prithvi: NASA Model and Dataset for Ecological Phenomena Analysis

NASA and IBM have unveiled the open-source model Prithvi, designed to empower scientists in tracking the consequences of climate change, monitoring deforestation, predicting agricultural crop yields, and analyzing greenhouse gas…

Vision Outlooker architecture sets a record for image classification accuracy without pre-training

27 June 2021

Vision Outlooker architecture sets a record for image classification accuracy without pre-training

Vision Outlooker (VOLO) is a variation of the Vision Transformer architecture. Designed to reduce reliance on additional training data, VOLO reached a record 87.1% on ImageNet without pre-training. The code…

Neural network generates photo captions for people with vision problems

17 February 2021

Neural network generates photo captions for people with vision problems

A neural network from Facebook AI generates descriptions for photos for users with vision problems. The app uses object recognition to generate textual descriptions of the image. It makes the…

VGG16 – Convolutional Network for Classification and Detection

20 November 2018
vgg16

VGG16 – Convolutional Network for Classification and Detection

VGG16 is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper “Very Deep Convolutional Networks for Large-Scale Image Recognition”.…

AlexNet – ImageNet Classification with Deep Convolutional Neural Networks

29 October 2018

AlexNet – ImageNet Classification with Deep Convolutional Neural Networks

AlexNet is the name of a convolutional neural network which has had a large impact on the field of machine learning, specifically in the application of deep learning to machine vision. It famously won the…