Eran Feit

Eran Feit is a Computer Vision Engineer, AI Researcher, and Deep Learning Educator with over a decade of hands-on experience in the tech industry. Specializing in object detection, edge AI deployment, and advanced neural network architectures, Eran bridges the gap between complex AI theory and practical implementation. He is dedicated to empowering the global developer community through comprehensive, code-driven tutorials and guides.

How to Extract Text from Scanned Books with Python and OpenCV

OpenCV /
OpenCV Word Segmentation

Introduction — Bringing Old Pages to Digital Life Optical Character Recognition (OCR) is a technology used to extract text from images which is used in applications like document digitization, license plate recognition and automated data entry. If you’ve ever wanted to digitize a physical book or scanned document, you know that the hardest part is getting […]

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Image Segmentation in OpenCV with Python and Contours

OpenCV, Image Segmentation /
OpenCV Image Segmentation

Introduction In this tutorial, you will learn a practical pipeline for OpenCV image segmentation in Python.We will convert an image to grayscale, apply a smart binary threshold, detect contours, and then build a mask to extract the main object.This workflow is fast, reproducible, and ideal for object extraction, background removal, and preprocessing for computer vision

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

OpenCV, Image Segmentation /
OpenCV Image Segmentation with K-Means in Pytho

Introduction Image segmentation is the process of partitioning an image into meaningful regions (segments) — for example separating foreground from background, isolating objects, or splitting an image into zones of similar color or texture. One classic and relatively simple technique for segmentation is K-means clustering applied in color (or feature) space. In this post, we’ll

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Real-Time Image Classification with Jetson Nano and OpenCV — Complete Guide

Jetson Nano /
Jetson Image Classification

Introduction to real-time image classification with Jetson Nano and Python In this tutorial, we will build a real-time image classification using Jetson Nano Inference and OpenCV in Python.The code connects to a webcam, captures live video, classifies each frame using a deep learning model (GoogLeNet), and overlays the recognized object name directly onto the video

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Jetson Nano Video Classification Python: Real-Time GoogLeNet Tutorial

Jetson Nano /
jetson nano real time image classification

The Definitive Guide to Jetson Nano Video Classification: Python & OpenCV In the world of Edge AI, high-latency is the enemy. Standard CPU-based processing on small boards often leads to “bottlenecking,” where the hardware simply cannot keep up with a 30FPS video stream. In this masterclass, we will implement a high-performance Jetson Nano video classification

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Mastering Edge AI: Real-Time Object Classification with Jetson Nano and OpenCV

Jetson Nano /
jetson nano image classification

Mastering Jetson Nano object classification is the key to building powerful, independent AI systems on the edge. While many developers struggle with slow frame rates and high latency, this guide focuses on utilizing the full potential of NVIDIA’s hardware. By integrating TensorRT inference with OpenCV, you will transform your Jetson Nano into a high-speed vision

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Getting started with Jetson Nano | How to install Jetson Nano inference tutorial to classify objects

Jetson Nano /
jetson nano setup

How to Install jetson-inference on Jetson Nano (Complete Build Tutorial) – Jetson Nano Setup Jetson Nano Setup Overview Setting up Jetson Nano correctly is the fastest way to start deploying AI models at the edge. In this guide you will install all required developer tools, clone NVIDIA’s jetson-inference repository, and compile it from source. You

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What actually sees a CNN Deep Neural Network model ?

TensorFlow tutorials /
visualize CNN

Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images, utilizing vgg16 transfer learning and CNN filter visualization. This is part of our TensorFlow image classification tutorial series! Each video focuses on a specific

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How to classify monkeys images using convolutional neural network , Keras tuner hyper parameters , and transfer learning ? (part4)

TensorFlow tutorials /
Transfer Learning Fine-tune a Pretrained VGG16

Welcome to our comprehensive image classification tutorial series! In this tutorial playlist, consisting of five informative videos, we will guide you through the entire process of classifying monkey species in images, utilizing vgg16 transfer learning. This is part of our TensorFlow image classification tutorial series! Each video focuses on a specific aspect of the process,

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Eran Feit