Image recognition is now being used in plenty of real-world applications. In the food industry, artificial intelligence (AI) and image recognition can be used to detect food to automatically remove...
Category: Data Science
In recent years, there has been significant progress in the field of object identification and semantic segmentation. The Fast/Faster R-CNN and Fully Convolutional Network (FCN) frameworks have...
Generally, region selection was typically performed using a method called "Selective Search," as was the case in Fast RCNN. However, this process can be time-consuming. Faster RCNN was developed to...
Fast R-CNN is a state-of-the-art object detection algorithm that is widely used in the field of computer vision. It is a fast and accurate method for detecting objects in images or videos. Fast R-CNN...
Deep convolutional neural networks (CNNs) have revolutionized the field of computer vision, thanks to their ability to learn complex features from large amounts of training data. However, one...
Introduction to Region-based Fully Convolutional Networks (R-FCN)
The meaning of R-FCN is "Region-based Fully Convolutional Networks". Artificial intelligence is used mainly for motion and object detection, including detecting an object's position in an image or...
