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This repository contains the original MATLAB implementation of R-CNN (Regions with Convolutional Neural Networks), a pioneering deep learning-based object detection framework. Developed by Ross Girshick, R-CNN combines region proposals with convolutional neural networks to detect objects in images. It was one of the first approaches to significantly improve performance on object detection benchmarks like PASCAL VOC.
Features
- Implements R-CNN object detection using MATLAB
- Uses region proposals and CNN feature extraction
- Trains SVM classifiers on extracted features
- Compatible with pretrained Caffe CNNs
- Evaluates performance on PASCAL VOC datasets
- Demonstrates pipeline from region proposal to final detection
Project Samples
Categories
Computer Vision LibrariesLicense
BSD LicenseFollow Rcnn
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