Real Time object detection is a technique of detecting objects from video, there are many proposed network architecture that has been published over the years like we discussed EfficientDet in our ...

“Traditional object detection algorithms (YOLOv5, MobileNet SSD) are bad at this type of problem (similar-sized objects, lots of very small objects) so he designed a custom architecture that ...

Recent developments in Artificial Intelligence (AI) have significantly enhanced autonomous cars' object recognition capabilities, especially with the implementation of deep neural networks. Despite ...

Roboflow has launched RF-DETR, an open-source real-time object detection model optimized for edge devices, enabling faster and more efficient AI vision applications.

It aims to enable object detection on microcontrollers in the power domain of milliwatts, with less than 0.5MB memory available for storing convolutional neural network (CNN) weights. The proposed ...