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Anzhcs YOLOs

Developed by Anzhc
A series of object detection and segmentation models trained based on the YOLOv8 and YOLOv11 architectures, focusing on artistic image processing
Downloads 48.07k
Release Time : 2/7/2024

Model Overview

This series of models includes segmentation and detection models for parts such as the face, eyes, head hair, and chest, mainly optimized for anime and real human portraits

Model Features

Multi-resolution support
Provide model versions with multiple resolutions from 640px to 1024px to adapt to different application scenarios
Dual adaptation for anime and real images
Some models support the processing of both anime and real human portraits
Sub - part detection
Provide dedicated detection models for sub - parts such as the face, eyes, hair, and chest
YOLOv11 architecture optimization
The new version of the model uses the YOLOv11 architecture, with significant performance improvement compared to v8

Model Capabilities

Facial detection and segmentation
Accurate segmentation of the eye area
Head and hair segmentation
Chest contour detection
Gender classification (some models)
High - resolution image processing

Use Cases

Image restoration and enhancement
Automatic facial restoration
Realize automatic facial restoration in conjunction with extensions such as Adetailer
Improve restoration accuracy and reduce false positives
Eye detail enhancement
Specifically for the accurate detection of the sclera area of the eyeball
Avoid false positives in the eyelash and peripheral areas
Content analysis
Portrait feature analysis
Analyze features such as the face and hair
Can be used for style analysis or content classification
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