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Eran Feit Blog posts

Getting Started with YOLOX for Object Detection

YoloX Object Detection

Getting to know YOLOX for modern object detection YOLOX is a high-performance object detection model that builds on the YOLO family while rethinking some of its core design choices. Instead of relying on predefined anchor boxes, YOLOX uses an anchor-free approach, which simplifies the detection head and makes training and deployment easier in real-world projects.

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How to Use Detr for Smart Bone Fracture Detection

Detr for Smart Bone Fracture Detection

Getting to know Detr for smarter object detection Detr (DEtection TRansformer) is a modern approach to object detection that replaces many of the hand-crafted tricks in classic detectors with a clean, transformer-based design. Instead of relying on anchors, custom assignment rules, and complex post-processing, Detr treats detection as a direct set prediction problem: given an

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How to Train Detectron2 on Custom Object Detection Data

Detectron2

Getting started with Detectron2 custom dataset training When you move beyond simple demos and pre-trained models, detectron2 custom dataset training is what turns object detection into a real-world tool. Instead of relying only on COCO classes, you teach Detectron2 to recognize the exact objects that matter to your project – fruits on a conveyor belt,

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FaceFusion Face Swap Is WILD (Full FaceFusion Installation and Tutorial)

FaceFusion Face Swap

Why FaceFusion Face Swap Is So Powerful FaceFusion Face Swap takes the classic idea of swapping faces and pushes it into serious, production-grade territory. Instead of a simple filter, you get an “industry leading face manipulation platform” that runs locally, giving you precise control over how faces are detected, aligned, swapped, and enhanced in both

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Easy Detectron2 Object Detection Tutorial for Beginners

Detectron2 object detection tutorial

Getting comfortable with a Detectron2 object detection tutorial A detectron2 object detection tutorial is all about turning raw images into meaningful, labeled scenes using one of Facebook AI’s most powerful computer vision libraries.Instead of hand-writing complex neural networks from scratch, you stand on the shoulders of pre-trained models like Faster R-CNN and ResNet, and focus

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SSD MobileNet v3 Object Detection Explained for Beginners

SSD MobileNet v3

Introduction If you’re looking for a practical way to get started with modern deep learning–based object detection, SSD MobileNet v3 object detection is one of the best places to begin.It’s lightweight, fast, and works great even on standard laptops, which makes it perfect for real-world projects, demos, and tutorials. In this post, we’ll walk through

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Boost Your Dataset with YOLOv8 Auto-Label Segmentation

yolov8 auto-label segmentation

Boost Your Dataset with yolov8 auto-label segmentation and stop wasting time on manual annotations.In this tutorial, we’ll use a pre-trained YOLOv8 segmentation model to automatically detect objects in each video frame, draw high-quality masks, and save labeled outputs you can directly reuse for training or fine-tuning.You’ll see how to process video streams frame by frame,

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Eran Feit