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Image Background Removal and Replacement using Machine Learning | Image Processing using Python

In this YouTube tutorial, you will learn how to use advanced machine learning and AI techniques to remove and replace the background of an image. Specifically, we will be exploring the Image Background Removal and Replacement using Machine Learning and AI repository, which contains a collection of pre-trained models and tools for training your own custom models. We will start by exploring the pre-trained models in the repository, which use advanced computer vision techniques to accurately segment the foreground subject from the background of an image. We will demonstrate how to use these models to remove the background from an image and leave behind only the foreground subject. Next, we will explore the repository's tools for training your own custom models. This will allow you to create models that are tailored to your specific use case and can achieve even more accurate background removal and replacement. Finally, we will demonstrate how to use the repository's tools to replace the background of an image with a new background. This can be useful in a variety of applications, from creating photo montages to product photography for e-commerce sites. By the end of this tutorial, you will have a deep understanding of how to use advanced machine learning and AI techniques to remove and replace the background of an image, and you will be equipped with the tools and knowledge to apply these techniques to your own projects. 💯 Read Full Blog with Code https://kgptalkie.com 💬 Leave your comments and doubts in the comment section 📌 Save this channel and video for watch later 👍 Like this video to show your support and love ❤️ ~~~~~~~~ 🆓 Watch My Top Free Data Science Videos 👉🏻 Python for Data Scientist https://bit.ly/3dETtFb 👉🏻 Machine Learning for Beginners https://bit.ly/2WOVh7N 👉🏻 Feature Selection in Machine Learning https://bit.ly/2YW6ZQH 👉🏻 Text Preprocessing and Mining for NLP https://bit.ly/31sYMUN 👉🏻 Natural Language Processing (NLP) Tutorials https://bit.ly/3dF1cTL 👉🏻 Deep Learning with TensorFlow 2.0 and Keras https://bit.ly/3dFl09G 👉🏻 COVID 19 Data Analysis and Visualization Masterclass https://bit.ly/31vNC1U 👉🏻 Machine Learning Model Deployment Using Flask at AWS https://bit.ly/3b1svaD 👉🏻 Make Your Own Automated Email Marketing Software in Python https://bit.ly/2QqLaDy *********** 🤝 BE MY FRIEND 🌍 Check Out ML Blogs: https://kgptalkie.com 🐦Add me on Twitter:   / laxmimerit   📄 Follow me on GitHub: https://github.com/laxmimerit 📕 Add me on Facebook:   / kgptalkie   💼 Add me on LinkedIn:   / laxmimerit   👉🏻 Complete Udemy Courses: https://bit.ly/32taBK2 ⚡ Check out my Recent Videos: https://bit.ly/3ldnbWm 🔔 Subscribe me for Free Videos: https://bit.ly/34wN6T6 🤑 Get in touch for Promotion: [email protected] ✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐ ENROLL in My Highest Rated Udemy Courses to 🔑 Unlock Data Science Interviews 🔎 and Tests 📚 📗 NLP: Natural Language Processing ML Model Deployment at AWS Build & Deploy ML NLP Models with Real-world use Cases. Multi-Label & Multi-Class Text Classification using BERT. Course Link: https://bit.ly/bert_nlp 📊 📈 Data Visualization in Python Masterclass: Beginners to Pro Visualization in matplotlib, Seaborn, Plotly & Cufflinks, EDA on Boston Housing, Titanic, IPL, FIFA, Covid-19 Data. Course Link: https://bit.ly/udemy95off_kgptalkie 📘 📙 Natural Language Processing (NLP) in Python for Beginners NLP: Complete Text Processing with Spacy, NLTK, Scikit-Learn, Deep Learning, word2vec, GloVe, BERT, RoBERTa, DistilBERT Course Link: https://bit.ly/intro_nlp 📈 📘 2021 Python for Linear Regression in Machine Learning Linear & Non-Linear Regression, Lasso & Ridge Regression, SHAP, LIME, Yellowbrick, Feature Selection & Outliers Removal. You will learn how to build a Linear Regression model from scratch. Course Link: https://bit.ly/regression-python 📙📊 2021 R 4.0 Programming for Data Science || Beginners to Pro Learn Latest R 4.x Programming. You Will Learn List, DataFrame, Vectors, Matrix, DateTime, DataFrames in R, GGPlot2, Tidyverse, Machine Learning, Deep Learning, NLP, and much more. Course Link: http://bit.ly/r4-ml