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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:
How to Customize Bounding Boxes in Ultralytics YOLO
The world of computer vision moves fast, and the release of YOLO11 has brought incredible speed and accuracy to real-time ...
How to Track and Filter Custom Classes with YOLO11 Object Counting
Computer vision is evolving rapidly, and the release of Ultralytics YOLO11 brings unprecedented speed and accuracy to real-time video analytics ...
Ultralytics YOLO11 Analytics Guide | Build a Real-Time YOLO Tracker
Object detection has evolved rapidly, moving beyond simple static image recognition to the complex world of real-time spatial intelligence. This ...
Tomato Leaf Disease Detection: Faster R-CNN PyTorch Tutorial
In this guide, we dive deep into the intersection of computer vision and modern agriculture by building a robust system ...
Accuracy vs. Speed: Comparing Faster R-CNN and SSD in PyTorch
In the world of computer vision, choosing the right architecture is often a game of trade-offs between precision and performance ...
Train YOLO for African Wildlife Detection
This guide is a comprehensive, hands-on technical tutorial to building a state-of-the-art computer vision pipeline specifically tailored for detecting diverse ...
How to Fine-tune YOLOv8 Open Images V7 for 43 Aircraft classes
This guide dives deep into the practical implementation of computer vision by showing you how to Fine-tune YOLOv8 Open Images ...
How to Train YOLO-World on Custom Dataset | Underwater trash dataset
Modern object detection has reached a pivotal moment with the release of open-vocabulary models that can identify objects they have ...
How to Use YOLO-World for Zero-Shot Object Detection
In this YOLO-World tutorial, we explore the groundbreaking shift in computer vision from supervised learning to zero-shot inference. We are ...
Object Tracking with Supervision and YOLOv11 ByteTrack for AI Developers
Object tracking has evolved from a complex experimental challenge into a mandatory requirement for modern vision-based applications. This guide provides ...
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