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RCNN by A.C. JINISHA ECE is a document available to read on EtoBox.
What is RCNN about?
R-CNN (Regions with CNN features) improves object detection by using a selective search algorithm to generate around 2,000 region proposals from an image, which are then individually processed for classification and localization. The model utilizes a pre-trained CNN for feature extraction, followed by SVM for classification and a bounding box regressor for localization, enhancing detection accuracy. Despite achieving significant improvements in Mean Average Precision, R-CNN is noted for its slow training an
- Author
- A.C. JINISHA ECE
- Language
- EN