Welcome to Eran Feit’s Computer-Vision Hub
Eran Feit
Welcome to Eran Feit’s Computer-Vision Hub
You can follow the world of Computer Vision, TensorFlow, Keras, and Python with my tutorials.
My last Posts:
Build Your Own YouTube AI Tracking System | YOLOv8 Norfair
This article provides a comprehensive technical walkthrough on implementing a professional-grade YOLOv8 Norfair tracking pipeline. By bridging the gap between ...
The Ultimate AI Kit: 40 Models in 1 Python Script
Imagine having a library of the world’s most advanced computer vision models at your fingertips, ready to deploy with a ...
Fast Object Detection in Python with MediaPipe
In the rapidly evolving landscape of computer vision, building efficient, high-performance applications often feels like a choice between heavy, resource-hungry ...
Create Synthetic Data for Computer Vision Pipelines
The process of manual data annotation has long been the most significant bottleneck in developing high-performance machine learning models. This ...
Detect Alzheimer’s: Deep Learning Python & Xception
In the rapidly evolving landscape of medical AI, the ability to translate raw clinical data into actionable diagnostic insights is ...
Butterfly Species Identification CNN with TensorFlow & Python
This article provides a comprehensive walkthrough for building a robust Butterfly Species Identification CNN from the ground up. By focusing ...
Build a 100-Class Sports Classifier with EfficientNetB0
This EfficientNetB0 image classification tutorial is designed to teach you how to build a robust system capable of identifying 100 ...
Fast Keras Hub Image Classification Tutorial
Staying ahead in computer vision means moving beyond fragmented libraries and embracing a unified ecosystem. This Keras Hub image classification ...
Classifying Knee X-Rays with ResNet152V2 & TensorFlow
In the field of medical diagnostics, deep learning is no longer just a buzzword—it is a transformative tool that assists ...
How to Train ConvNeXt in PyTorch on a Custom Dataset
ConvNeXt has become one of the most practical “modern CNN” choices when you want strong accuracy without giving up the ...











