From Wikipedia, the free encyclopedia

RCNN may refer to:

RCNN is a two- stage object detection algorithm. the first stage is to identifies a subset of regions in an image that might contain an object to be detected while the second stage is to classifies the object in each region


AI base CNN model plays a vital role in pre-trained convolutional neural network used as the starting point for training a new model. it usually used for image/ object recognition and classification

There are different version of R-CNN which are Fast R-CNN and Faster R-CNN in the context of R-CNN, the base CNN model is used for feature extraction, and the extracted features are used to train a classifier for object detection

From Wikipedia, the free encyclopedia

RCNN may refer to:

RCNN is a two- stage object detection algorithm. the first stage is to identifies a subset of regions in an image that might contain an object to be detected while the second stage is to classifies the object in each region


AI base CNN model plays a vital role in pre-trained convolutional neural network used as the starting point for training a new model. it usually used for image/ object recognition and classification

There are different version of R-CNN which are Fast R-CNN and Faster R-CNN in the context of R-CNN, the base CNN model is used for feature extraction, and the extracted features are used to train a classifier for object detection


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