...

TensorFlow tutorials

How to UNet Image Segmentation TensorFlow on Custom Data | Dolphin Segmentation

Image Segmentation, TensorFlow tutorials, Unet /
unet image segmentation tensorflow

U-Net image segmentation in TensorFlow is a go-to approach when you need pixel-level predictions, not just a single label per image.Instead of asking “is there a dolphin in this photo,” segmentation asks “which exact pixels belong to the dolphin,” producing a mask that matches the object shape. TensorFlow/Keras makes this workflow accessible because you can […]

How to UNet Image Segmentation TensorFlow on Custom Data | Dolphin Segmentation Read More »

Binary Image Segmentation with VGG16 U-Net | Dust-Storm segmentation

Image Segmentation, TensorFlow tutorials /
Image Segmentation with VGG16 U-Net Binary Segmentation

Introduction U-Net has become one of the most trusted deep learning architectures for image segmentation, because it doesn’t just recognize what’s in an image, it labels every pixel with a clear decision.Instead of predicting a single class for the whole image, U-Net produces a detailed mask that separates the target region from everything else.That pixel-level

Binary Image Segmentation with VGG16 U-Net | Dust-Storm segmentation Read More »

How to Train U‑Net EfficientNet-B0 for Water Segmentation

Image Segmentation, TensorFlow tutorials, Unet /
Water segmentation with U-Net EfficientNet B0

Introduction Training modern image segmentation models has become more accessible thanks to powerful pretrained backbones and flexible deep learning frameworks.One of the most effective combinations today is How to Train U-Net EfficientNet B0 for Water Segmentation, which merges a proven segmentation architecture with a lightweight yet expressive encoder.This approach is especially well-suited for satellite imagery,

How to Train U‑Net EfficientNet-B0 for Water Segmentation Read More »

How to Use UNETR for Multiclass Image Segmentation

VIT, Image Segmentation, TensorFlow tutorials /
multiclass image segmentation

Introduction Multiclass image segmentation is a powerful deep learning approach that allows us to separate an image into multiple meaningful regions, where each pixel is assigned to a specific category. Instead of simply deciding whether a pixel belongs to an object or not, multiclass image segmentation goes further and recognizes several different classes within the

How to Use UNETR for Multiclass Image Segmentation Read More »

How To Actually Fine-Tune MobileNetV2 | Classify 9 Fish Species

TensorFlow tutorials, Image Classification /
How To Actually Fine-Tune MobileNetV2 | Classify 9 Fish Species

🎣 Classify Fish Images Using MobileNetV2 & TensorFlow 🧠 In this hands-on video, I’ll show you how I built a deep learning model that can classify 9 different species of fish using MobileNetV2 and TensorFlow 2.10 — all trained on a real Kaggle dataset! This Tensorflow image recognition tutorial covers from dataset splitting to live

How To Actually Fine-Tune MobileNetV2 | Classify 9 Fish Species Read More »

How to classify Malaria Cells using Convolutional neural network

TensorFlow tutorials, Image Classification /
CNN - Malaria

This tutorial provides a step-by-step easy guide on how to implement and train a CNN model for Malaria cell classification using TensorFlow and Keras. 🔍 What You’ll Learn 🔍:  Data Preparation — In this part, you’ll download the dataset and prepare the data for training. This involves tasks like preparing the data , splitting into training

How to classify Malaria Cells using Convolutional neural network Read More »

U-Net Image Segmentation with TensorFlow/Keras (Oxford-IIIT Pets)

TensorFlow tutorials, Unet /
Unet Animals

This tutorial provides a step-by-step guide on how to implement and train a U-Net Image Segmentation TensorFlow . 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 the data

U-Net Image Segmentation with TensorFlow/Keras (Oxford-IIIT Pets) Read More »

U-Net Image Segmentation Tutorial | Deep Learning Image Segmentation Guide

TensorFlow tutorials, Image Segmentation, Unet /
Unet - segment people

Deep Learning Image Segmentation with U-Net This tutorial demonstrates a complete U-Net image segmentation workflow. It is designed as a practical image segmentation tutorial, showing how deep learning image segmentation can be applied to Check out our tutorial here : https://youtu.be/ZiGMTFle7bw The tutorial is divided into four parts: Part 1: Data Preprocessing and Preparation In

U-Net Image Segmentation Tutorial | Deep Learning Image Segmentation Guide Read More »

Build a CNN Model for Retinal Image Diagnosis

TensorFlow tutorials, Image Classification /
Tensorflow retinal eye

👁️ CNN Image Classification for Retinal Health Diagnosis with TensorFlow and Keras! 👁️ How to gather and preprocess a dataset of over 80,000 retinal images, build a CNN model , and train it that can accurately distinguish between these health categories. What You’ll Learn: 🔹 Data Collection and Preprocessing: Discover how to acquire and prepare

Build a CNN Model for Retinal Image Diagnosis Read More »

Eran Feit