Unet

Introduction Image matting using U2‑Net is one of the most practical ways to get clean foreground cutouts without relying on green screens or heavy manual editing.Instead of producing a rough “binary” mask, matting focuses on the fine transition areas like hair strands, soft edges, and semi-transparent regions.That’s exactly where many classic segmentation models struggle, because […]

This tutorial provides a step-by-step guide on how to implement and train a UNet Tensorflow model for Melanoma detection using TensorFlow and Keras.  🔍 What You’ll Learn 🔍:  Building U-net model : Learn how to construct the model using TensorFlow and U-net Keras. Unet Tensorflow Model Training: We’ll guide you through the training process, optimizing your

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.

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