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Looking for the source code to this post? Jump Right To The Downloads Section Detect and remove duplicate images from a dataset for deep learning #How to delete duplicate photos from google photo how toTo learn how to detect and remove duplicate images from your deep learning dataset, just keep reading! It certainly is - and I’ll be covering it in the remainder of today’s tutorial. We therefore need a method to automatically detect and remove duplicate images from our deep learning dataset. Secondly, trying to manually detect duplicate images in a dataset is extremely time-consuming and error-prone - it also doesn’t scale to large image datasets. When training a Convolutional Neural Network, we typically want to remove those duplicate images before training the model. While we often assume that data points in a dataset are independent and identically distributed, that’s rarely (if ever) the case when working with a real-world dataset. It hurts the ability of your model to generalize to new images outside of what it was trained on.It introduces bias into your dataset, giving your deep neural network additional opportunities to learn patterns specific to the duplicates.Having duplicate images in your dataset creates a problem for two reasons: Is there a way that I can automatically detect and remove the duplicates from my image dataset? Trying to do so manually sounds like an error-prone process. Why are duplicate images in a dataset a problem? Secondly, how do I detect the image duplicates? My professor told me to be careful when building the dataset, stating that I needed to remove duplicate images. and then training a deep neural network on the dataset. I’m an undergraduate working on my final year graduation project and have been tasked with building an image dataset by scraping Google Images, Bing, etc. I knew there were going to be duplicate images in the dataset - I therefore needed a method to detect and remove these duplicate images from my dataset.Īs I was working on the project, I just so happened to receive an email from Dahlia, a university student who also had a question on image duplicates and how to handle them: ![]() The dataset I was using was crafted by combining images from multiple sources. I can’t go into details of the project (yet), but one of the tasks required me to train a custom deep neural network to detect specific patterns in images. Over the past few weeks, I’ve been working on a project with Victor Gevers, the esteemed ethical hacker from the GDI.Foundation, an organization that is famous for responsibly disclosing data leaks and reporting security vulnerabilities. In this tutorial, you will learn how to detect and remove duplicate images from a dataset for deep learning.
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