Region-based CNNs, or R-CNNs, are a type of convolutional neural network specifically designed for object detection tasks. They combine region proposal algorithms with deep learning techniques to effectively identify and classify objects within images. This approach enables the model to focus on specific areas of an image, improving accuracy and reducing processing time compared to traditional methods.
congrats on reading the definition of Region-based CNNs (R-CNNs). now let's actually learn it.