Find similar images using tags and images
Find similar images from a collection
https://huggingface.co/spaces/VIDraft/mouse-webgen
Decode images to teacher model outputs
Process webcam feed to detect edges
Vectorizer AI | Convert Image to SVG
Generate saliency maps from RGB and depth images
Facial expressions, 3D landmarks, embeddings, recognition.
Search for medical images using natural language queries
Enhance and upscale images with face restoration
Visualize attention maps for images using selected models
Try CANVAS-S in this huggingface space
Multimodal Language Model
Danbooru2022 Embeddings Playground is an experimental tool designed to explore and find similar images using tags and image embeddings. It leverages advanced embedding technology to enable users to search for images based on semantic similarity, allowing for intuitive and powerful image discovery.
What is an embedding?
An embedding is a vector representation of an image or text that captures its semantic meaning in a high-dimensional space.
Can I use the tool without an account?
Yes, no account is required to use the Danbooru2022 Embeddings Playground.
How are similar images determined?
Similar images are determined by calculating the similarity score between the embedding of your input (tag or image) and the embeddings of images in the dataset.