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 ...

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

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 ...

Some of the most common applications of machine learning in computer vision include image classification, object detection, and segmentation.

Most people are familiar with the idea that machine learning can be used to detect things like objects or people, but for anyone who’s not clear on how that process actually works should check ...

The SpotlightAI™ software ecosystem utilizes advanced machine learning (ML) models for small object detection and data reporting built on an extensive proprietary dataset capable of rapidly ...

As an evolution of their relationship, the IonQ and Hyundai team will develop quantum machine learning (QML) models to detect and recognize traffic signs and identify 3D objects such as ...

In addition to image quality challenges, the problem itself does not fall neatly into the paradigm of traditional object detection because the target object is an anomalous nuance of the image ...

Using advanced machine learning, drones could be used to detect dangerous 'butterfly' landmines in remote regions of post-conflict countries, according to research.