Clipseg Rd16
CLIP-based zero-shot and one-shot image segmentation model supporting text and image prompts
Downloads 5,256
Release Time : 11/4/2022
Model Overview
This model is a dimensionality-reduced version of CLIPSeg (down to 16 dimensions), specifically designed for zero-shot and one-shot image segmentation tasks, capable of performing image segmentation based on text or image prompts.
Model Features
Zero-shot segmentation
Perform image segmentation on new categories without training
Multimodal prompting
Supports both text and images as segmentation prompts
Dimensionality reduction
Dimensionality-reduced version of the original CLIPSeg model (down to 16 dimensions)
Model Capabilities
Image segmentation
Zero-shot learning
One-shot learning
Multimodal processing
Use Cases
Computer vision
Text-based image segmentation
Automatically segment corresponding regions in images based on text descriptions
Can identify and segment objects described in text
Example-image-based segmentation
Automatically segment similar regions in target images based on example images
Can identify and segment objects similar to the example image
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