CleanSlate is a free, user-friendly image background remover that delivers high-quality results with just a few clicks. Upload an image, remove the background instantly, and download your new, clean-cut photo. Perfect for web developers, designers, and anyone needing professional-grade images without hassle.

this is an image background remover app with the use of remove.bg api

A simple chrome extension to copy images from the web without background

In this project, we’re going to make our own image background removal application using OpenCV and MediaPipe framework.

This repository contains the projects that I made in the Python programming language.

Creating a user-friendly solution for image background removal using the U2-Net model. Enhancing accuracy and processing speed to aid graphic design, e-commerce, and photography tasks.

Image Background Removal by User hand

A simple Python script to remove the background from an image using the rembg library. This script is useful for quickly and easily removing the background from an image, which can be useful for a variety of purposes such as creating transparent images or replacing the background with a different image.

An automation solution that iterates through photos in a folder, removes the background using an online AI tool, and saves the edited photos in a separate folder.

Deleting Picture Background Python

A Background removing plugin for Flow Launcher that uses remove.bg API to remove the background from an image.

Remove backgrounds from multiple images at once using rembg or ClipDrop API

RMBG v1.4 is our state-of-the-art background removal model, designed to effectively separate foreground from background in a range of categories and image types.

Image preprocessing, including character cropping, background removal, image enlargement and restoration, PIXIV image downloading, etc. 图片预处理，包括人物裁剪，背景去除，图片放大修复，PIXIV图片下载等

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."