Python implementation of Selective Search for Object Recognition.

(contribution) Selective Search Implementation for Python

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

Image classification svm with simple neural network.

This repo contains the code for region based CNN network

Implementation of R-CNN

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

Python implementation of selective search

A project about car detection using RCNN model

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

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

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.