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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Getting Comfortable with This DeepFaceLive Tutorial If you’ve ever wanted to swap your face in real time during a video call or live stream, a DeepFaceLive tutorial is exactly where you start.DeepFaceLive is a Windows application that captures your webcam feed, tracks your facial landmarks, and replaces your face with another one on the fly.Instead
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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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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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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 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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Understanding YOLOv8 Segmentation for Real Projects YOLOv8 has quickly become one of the most powerful tools for real-time object detection and segmentation, combining speed, accuracy, and a clean developer experience into one flexible framework. With its segmentation capabilities, you can move beyond simple bounding boxes and generate precise masks that separate objects from their background
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Effortless YOLOv8 Segmentation Tutorial for Multi-Class Football This post walks you through an end-to-end YOLOv8 segmentation tutorial focused on multi-class football images.You’ll start by setting up a clean environment, preparing labeled data with proper YOLOv8 segmentation annotations, training a multi-class instance segmentation model, and finally visualizing colorful masks for each class (players, lines, zones, etc.).Every
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How YOLOv8 Flood Segmentation Helps You Map Real Floods YOLOv8 flood segmentation gives you more than bounding boxes.It delivers precise pixel-level masks that outline where floodwater actually appears, turning raw satellite or aerial imagery into clear, data-driven flood maps. In this tutorial, you’ll use YOLOv8 flood segmentation to build a focused one-class model that separates
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Understanding YOLOv5 in a Practical Way YOLOv5 is one of the most popular deep learning frameworks for real-time object detection, and for good reason.It’s fast, lightweight, and flexible, making it a great fit for everything from quick experiments on your laptop to full production pipelines running on GPUs or edge devices. This Yolov5 segmentation tutorial
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