The object detection network is trained on the annotated data until it can find regions in images that correspond to each kind of object. Now let’s look at a few object-detection neural network ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

The novel SBDet model introduces a relaxed rotation-equivariant network (R2Net) that improves object detection in scenarios with symmetry-breaking or non-rigid transformations. This innovation ...

A technical paper titled “TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers” was published by researchers at ETH Zurich. Abstract: “This ...

However, Meta is moving out of the conventional method of AI detection, as its new AI, Segment Anything, can detect never-seen-before objects in images.