yolov8-segmentation 开源项目推荐（44 个）

Koldim2001 /COCO_to_YOLOv8

将COCO注释（CVAT）转换为YOLO-seg（实例分段）和YOLO-obb（定向边界盒检测）的注释

andreasHovaldt /yolov8_ros2

ROS2 Package for instance segmentation using the YoloV8 segmentation model and a Intel Realsense D435 camera

Qengineering /YoloV8-seg-NPU

YoloV8 segmentation NPU for the RK 3566/68/88

Vishnu-tppr /Camouflage-AI

🎥 Camouflage-AI – A fast and flexible AI tool for removing video backgrounds using YOLOv8 segmentation. Customize with solid colors, blur, or images. Built with Python & CustomTkinter for a stunning desktop experience.

tobecwb /facial-features-yolo8x-seg

YOLOx8 model segmentation for face features

Sousannah /YOLOv8-Projects

该项目在 GitHub 上没有填写描述

DivyaSudagoni /Object-Detection-Plant-Diseases

Using YOLOv8 and Detectron2 models, this project automates the detection of plant diseases from image data to facilitate early diagnosis and treatment.

anantha119 /RS-YOLOv8

Road instance segmentation using YOLOv8 object detection for annotation and the YOLOv8 object detection for segmentation

samiyaalizaidi /COD-with-YOLOv8-Segmentation

Main Repository for the Paper Titled "Enhanced Camouflaged Object Detection for Agricultural Pest Management: Insights from Unified Benchmark Dataset Analysis"

yjwong1999 /RSGuidedDiffusion

[IEEE BigData 2024] Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation

kitsumed /PictureColorDiffusion

PictureColorDiffusion is a program that automate 2d colorization of grayscale drawings using Automatic111 Stable Diffusion's WebUI API, it's interrogation feature and the controlnet extension. Additional features such as YoloV8 segmentation are also available. Specifiec modes for coloring manga and drawing are available.

yjwong1999 /RSBuildingExtraction

[IEEE BigData 2024] Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation

p-sira /deeplabcut2yolo

Convert DeepLabCut to YOLO

Bang-tv259 /Demo-Web-SkinAnalysis

Web-demo-Skin-Analysis is a facial skin analysis project focusing on three key concerns: pigmentation, wrinkles, and pores. It utilizes U-Net++ and YOLOv8 for segmentation, MobileNetV2 and ResNet152 for classification, and YOLOv5Face for face detection. The web application is built with Flask.

earthtoolsmaker /coralreef-conservation

Segmentation of coral reefs in benthic imagery to quantify the long-term growth or decline of coral cover within marine protected areas.

manohargoud-cmd /Plant-Detection-using-YOLOv8

🌿 Detect and classify plant leaves in real-time using YOLOv8, enhancing crop health and productivity through early disease identification.

MatteoMendula /TensorRT-YOLOv8-Instance-Segmentation

TensorRT YOLOv8 Instance Segmentation with pycuda for Jetson TX2

MortadhaMannai /PyDetect8-Human-Detection-Reimagined

This repository contains a re-implementation of YOLOv8 specifically designed for person detection using PyTorch. It provides a streamlined approach to implement and utilize YOLOv8 for detecting individuals within images.

PrinceB7 /yolov8-seg-onnx

Infer yolov8-seg models from Ultralytics with ONNXRuntime (no torch required)

abwahab175 /mri-report-generator

MRI Report Generation and Tumor Segmentation with Streamlit A Streamlit application that processes MRI images to segment tumors using YOLOv8 and generates comprehensive PDF reports with AI-powered analysis from Google Gemini. Ideal for radiologists and healthcare professionals needing quick and accurate report generation from MRI data.