This is the Linux app named Rcnn whose latest release can be downloaded as ReleasethatgoeswithourCVPR14papersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Rcnn
DESCRIPTION:
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
Programming Language
MATLAB
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/rcnn.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.