Python implementation of selective search

Image classification svm with simple neural network.

Selective Search reimplementation in PyTorch that allows to extract not only the bounding boxes, but also the region masks

Python implementation of Selective Search for Object Recognition.

A Python implementation from scratch of RCNN algorithm for Object Detection.

This repository provides a Python implementation of Selective Search for object detection. It includes code for segmenting an image using the Felzenszwalb method, extracting candidate regions for object detection, and visualizing these regions.

A project about car detection using RCNN model

MSc Thesis at FER-2021/22 led by izv. prof. dr. sc. Marko Čupić

(contribution) Selective Search Implementation for Python

Implementation of R-CNN

Implement Selective Search in traditional computer vision. 手刻實作電腦圖像辨識領域中的經典算法 - Selective Search

This repo contains the code for region based CNN network