Eran Feit Blog posts

Free Image Upscaler : How to Enhance Photos and Videos with AI Super Resolution

Python Cool Stuff /
Upscale your Images and videos using SUPER RESOLUTION

If you’ve ever tried to enlarge a photo, you know how quickly it becomes blurry and pixelated. A free image upscaler solves this by using AI super resolution to make your images and videos sharper, clearer, and higher in resolution—without losing quality. In this guide, I’ll show you exactly how a free image upscaler works, […]

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Self-Supervised Learning Made Easy with LightlyTrain | Image Classification tutorial

Image Classification /
LightlyTrain Image classification

In this tutorial, we will show you how to use LightlyTrain to train a model on your own dataset for image classification. Self-Supervised Learning (SSL) is reshaping computer vision, just like LLMs reshaped text. The newly launched LightlyTrain framework empowers AI teams—no PhD required—to easily train robust, unbiased foundation models on their own datasets. Let’s

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How to Classify Vehicles: VGG16 Feature Extraction & XGBoost

Image Classification /
Object Classification using XGBoost and VGG16

In this tutorial, we build a vehicle classification model using VGG16 for feature extraction and XGBoost for classification! 🚗🚛🏍️ It will based on Tensorflow and Keras 🔍 What You’ll Learn 🔍:  🖼️ Part 1: We kick off by preparing our dataset, which consists of thousands of vehicle images across five categories. We demonstrate how to

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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

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How to segment X-Ray lungs using UNet and Tensorflow

Image Segmentation, Unet /
Unet Lungs Segmentation

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

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How to Build a U-Net for Melanoma Detection Using TensorFlow/Keras

Image Segmentation, Unet /
Melanoma 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 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

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