Object detection is a supervised machine learning problem, which means you must train your models on labeled examples. Each image in the training dataset must be accompanied with a file that ...

We collaborate with organizations to develop high-performance cloud-to-edge machine learning solutions like face/gesture recognition, people counting, object/lane detection, weapon detection, food ...

The object detection required for machine vision applications such ... Thomas Andersen, vice president for AI and machine learning at Synopsys, said that in this situation, it depends on the actual ...

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very ...

The Company intends to utilize its newly enhanced models to power new threat detection solutions ... utilizes advanced machine learning (ML) models for small object detection and data reporting ...

Thankfully, we have an ace up our sleeves in the form of artificial intelligence (AI) and machine learning ... problem through deep learning that takes anomaly detection to an entirely new ...