The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

DETR achieves results comparable to Faster R-CNN, an object detection model created primarily by Microsoft Research that’s earned nearly 10,000 citations since it was introduced in 2015 ...

More recent models such as YOLO (You Only Look Once) use single-shot detection to provide near real-time object detection. But their memory requirements are still large.

EfficientDet is the next-generation version of EfficientNet, a family of advanced object detection models made available last year for Coral boards. Google engineers Mingxing Tan, Google Ruoming ...

As explained to TechXplore by researcher Vít Růžička: "While plenty of data sources record in high resolution, current state-of-the-art object detection models, such as YOLO, Faster RCNN, SSD ...

Safe Pro’s proprietary AI models have now analyzed 1,000,000 drone images in Ukraine, pinpointing over 20,000 explosive remnants of war (ERW) across 4,355 hectares (over 10,756 acres or ...

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.

The Model Eleven will launch on crowd-sourcing site Indiegogo before deliveries start next summer. The version with an ADAS for object detection will be $2,500, while the simpler model starts at ...