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 Build Sports Image Classification Model Using MobileNet

TensorFlow tutorials /
sports image classification

Why Use Convolutional Neural Networks (CNN) for Custom Sports Image Classification? In the rapidly evolving world of sports analytics, the ability to automatically identify athletic disciplines in visual data is a game-changer. This tutorial provides a comprehensive guide to build a custom sports image classifier with TensorFlow and Keras. Whether you are automating highlights or

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TensorFlow Food Image Classification: 36 Fruits and Vegetables in Python (Keras + OpenCV)

TensorFlow tutorials /
food classification

Build a Food Classification Pipeline with Python and TensorFlow Introduction TensorFlow food image classification is a practical way to recognize what’s inside an image and turn pixels into a label your app can use.In this tutorial, you’ll build a 36-class fruits and vegetables classifier in Python using TensorFlow / Keras, while using OpenCV for consistent

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PixelLib Mask R-CNN Tutorial: Custom Training with LabelMe + TensorFlow

TensorFlow tutorials, Object Detection /
PixelLib

What is PixelLib for Instance Segmentation? Are you struggling to build a precise instance segmentation pipeline without dealing with hundreds of lines of complex boilerplate code? In this hands-on guide, you will master PixelLib Mask R-CNN custom training with LabelMe to detect, segment, and extract specific objects in your images. Whether you are building an

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Eran Feit