Spaces

An online image tagging tool that automatically analyzes and labels images using Waifu Diffusion models to generate descriptive tags and content ratings.

This Space provides an interactive demo for automated image tagging using ML-Danbooru models to generate descriptive tags for anime-style images.

An interactive web application for detecting various objects in anime images including faces, persons, body parts, and censor points.

An interactive web application that provides multiple specialized anime image classification models for character analysis, style detection, and content assessment.

An interactive image search system that finds visually similar anime images from multiple online databases using content-based retrieval.

This Space generates visual heatmaps showing which parts of an image contribute to specific tag predictions using WD Tagger v3 models.

This repository provides an interactive web application for classifying images into NSFW content categories using pre-trained machine learning models.

An interactive web application that detects and segments characters in images, specifically extracting full-body, half-body, and head regions with adjustable scaling parameters.

This Space provides an interactive character search system that identifies and retrieves similar anime characters from the Danbooru dataset using content-based image retrieval.

This is an interactive demo for the PixAI Tagger V0.9 model that performs automated image tagging and classification with adjustable confidence thresholds.

This space provides an online interface for automated image tagging using the DeepDanbooru model to generate descriptive tags from input images.

An interactive web application for comparing anime character images to determine if they represent the same character using deep learning feature extraction.

An interactive anime image search system that allows users to find similar images using either image uploads or text descriptions across multiple anime image databases.

An interactive web application that evaluates the aesthetic quality of anime-style images using deep learning models.

This Space demonstrates adversarial attacks against anime AI detection models to generate images that fool classification systems.

An interactive text detection system that identifies and visualizes text regions in images using deep learning models.

This Space provides an interactive demo for YOLO12-based anime text detection models.

This repository provides an interactive demo for YOLO-based object detection trained on the Manga109 dataset.

This repository provides an interactive tool for calculating LPIPS (Learned Perceptual Image Patch Similarity) scores between two images to measure perceptual similarity.

This Space provides an interactive demo for YOLO-based person detection in images with adjustable detection thresholds.

An interactive tool for detecting blur in images using Laplacian variance analysis.

An interactive demo for comparing CLIP and SigLIP models on zero-shot image classification tasks.

An interactive web application for real-world object detection using multiple YOLO-based models for face, head, person, and generic object detection in images.

A professional anime image classification system that provides multiple specialized models for completeness assessment through an interactive web interface.

This repository provides an interactive demo for YOLO object detection models trained on COCO dataset.

This Space provides an interactive demo for YOLO-based face detection with adjustable detection parameters.

This space provides an interactive tool for detecting monochrome images using computer vision models.

This space provides an interactive demo for running ONNX models converted from Timm library for image classification tasks.

This repository provides a standardized Model Redistribution Disclaimer License for AI model distribution scenarios.