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 ...

Object detection in Java AWS The above code will run object detection on the supplied image (expected to be in the class path) and output the results to the logger in the following form: ...

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 ...

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 ...

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 ...