What is R-CNN?

R-CNN (Regions with CNN features) is an object detection algorithm that combines region proposals with convolutional neural networks (CNNs). It first generates region proposals using selective search, then extracts CNN features from each region, and finally classifies these regions using a support vector machine (SVM). R-CNN was a significant early advancement in object detection, demonstrating the power of combining CNNs with region proposal methods.