资讯

The Next Web4 年

Here’s how deep learning helps computers detect objects - TNW

But most machine learning researchers and developers use one of several tried and tested convolutional neural networks such as AlexNet, VGG16, and ResNet-50. Object detection datasets ...
VentureBeat4 年

Overview of deep learning architectures computers use to detect objects

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.
The Next Web3 年

FOMO is a TinyML neural network for real-time object detection

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.
Semiconductor Engineering2 年

AI Transformer Models Enable Machine Vision Object Detection

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
JSTOR Daily3月

Using an AI-Based Object Detection Translation Application for English ...

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students’vocabulary learning. We developed a system that utilized strategies ...
Business Wire6月

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its ...

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI Algorithms & Machine Learning Models on AWS Cloud Advancing Small Object Threat Detection ...
Forbes4 年

Using Machine Learning To Predict And Detect Fraud

No matter the type of fraud, machine learning is a powerful tool to keep it from becoming a serious problem — regardless of how our circumstances may change.