Converting COCO annotation (CVAT) to annotation for YOLO-seg (instance segmentation) and YOLO-obb (oriented bounding box detection)

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

YoloV8 segmentation NPU for the RK 3566/68/88

YOLOx8 model segmentation for face features

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

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

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

🎥 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.

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

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

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.

Convert DeepLabCut to YOLO

Rice Leaf Diseases

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

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.

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.

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.

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

TensorRT YOLOv8 Instance Segmentation with pycuda for Jetson TX2