In fact, most object detection networks use an image classification CNN and repurpose it for object detection. Object detection is a supervised machine learning problem, which means you must train ...

Six members of Facebook AI Research (FAIR) tapped the popular Transformer neural network architecture to create end-to-end object detection AI, an approach they claim streamlines the creation of ...

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 ...

Internet security was one of the first areas where machine learning (ML) was applied. Last year, I talked about how security in banking facilities is being enhanced with ML. Moving up to the wider ...

Object detection using machine vision requires an AI model/algorithm to run on top of AI chips, FPGAs, or modules. Together, these are commonly referred to as an “AI engine.” After first being trained ...