Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
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Updated
Jun 10, 2024 - Python
Converting COCO annotation (CVAT) to annotation for YOLOv8-seg (instance segmentation) and YOLOv8-obb (oriented bounding box detection)
YoloV8 segmentation NPU for the RK 3566/68/88
ROS2 Package for instance segmentation using the YoloV8 segmentation model and a Intel Realsense D435 camera
YOLOx8 model segmentation for face features
Road instance segmentation using YOLOv8 object detection for annotation and the YOLOv8 object detection for segmentation
Segmentation-Guided Diffusion Models for Label-Efficient Fine-Tuning for Remote Sensing Building Segmentation (IEEE BigData Cup 2024)
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.
YOLO based Building Instance Segmentation (IEEE BigData Cup 2024)
A real-time application to monitor leopard in urban or rural areas.
Autonomous drone system utilizing image analysis and dynamic movement adjustments for smoke plume tracking and particle sampling : GAIA-drone-control Project
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.
Segmentation of coral reefs in benthic imagery to quantify the long-term growth or decline of coral cover within marine protected areas.
Infer yolov8-seg models from Ultralytics with ONNXRuntime (no torch required)
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.
Traffic light recognition
Training and validation with yolov8 with the posidonia roboflow dataset (segmented labeling) where instance counting and instance segmentation are done
🚀 YOLO to COCO Conversion: Easily convert YOLO annotation format to COCO JSON using a Streamlit app. Customize categories, visualize annotations, and download JSON output. Perfect for computer vision projects!
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