Image Segmentation

Medical Melanoma Detection | TensorFlow U-Net Tutorial using Unet

This tutorial provides a step-by-step guide on how to implement and train a U-Net model for Melanoma detection using TensorFlow/Keras.  🔍 What You’ll Learn 🔍:  Data Preparation: We’ll begin by showing you how to access and preprocess a substantial dataset of Melanoma images and corresponding masks.  Data Augmentation: Discover the techniques to augment your dataset. […]

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U-net Image Segmentation | How to segment persons in images

This tutorial provides a step-by-step guide on how to implement and train a U-Net model for persons segmentation using TensorFlow/Keras. The tutorial is divided into four parts: Part 1: Data Preprocessing and Preparation In this part, you load and preprocess the persons dataset, including resizing images and masks, converting masks to binary format, and splitting

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U-net Medical Segmentation with TensorFlow and Keras (Polyp segmentation)

This tutorial provides a step-by-step guide on how to implement and train a U-Net model for polyp segmentation using TensorFlow/Keras. The tutorial is divided into four parts: 🔹 Data Preprocessing and Preparation In this part, you load and preprocess the polyp dataset, including resizing images and masks, converting masks to binary format, and splitting the

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Image Segmentation in OpenCV with Python and Contours

Learn how to perform image segmentation using Python OpenCV and contour detection in this step-by-step tutorial! Discover how to convert images to grayscale, apply thresholding techniques, detect contours, and merge the detected contours with the original image for stunning effects. Perfect for beginners in computer vision, this tutorial will help you create amazing visual effects

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Python Image Segmentation Made Easy with OpenCV and K-means Algorithm

Discover how to perform image segmentation using Python, OpenCV, and K-means clustering. In this tutorial, you’ll discover how to divide an image into multiple segments or regions based on certain criteria, and extract useful insights from the image. You’ll learn how to apply K-means clustering to an image, and how to adjust the number of

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