Object detection models are much more complex than image classification networks and require more memory. “We added computer vision support to Edge Impulse back in 2020, and we’ve seen a ...

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… ...

By integrating region detection into the main neural network architecture, Faster R-CNN achieves near-real-time object detection speed. YOLO Above: YOLO architecture.

However, considering the small network size, adding object detection classes will increase the size and memory consumption of the network, thus object detection with up to 3 classes is demonstrated.

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 ...

Subscription Required . BlackSky Shows Rapid AI Object Detection, Identification With New Sat is published in Aerospace Daily & Defense Report, an Aviation Week Intelligence Network (AWIN) Market ...

AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...