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image_text_similarity_filter

Filter images by textual similarity using a HuggingFace CLIP model.

541|171|Updated May 3, 2018
Search Tags:#HuggingFace#content moderation#image-text similarity#image filtering#CLIP model
One-click install
npx skills add https://github.com/cas-bigdatalab/piflow --skill image-text-similarity-filter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: image_text_similarity_filter
Source: https://github.com/cas-bigdatalab/piflow/tree/main/workspace/skills/image_text_similarity_filter
Command: npx skills add https://github.com/cas-bigdatalab/piflow --skill image-text-similarity-filter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires data_juicer, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of filtering images based on their similarity to provided text, automating the identification and selection of relevant samples.

Core Features & Use Cases

  • Image-Text Similarity: Calculate and compare the similarity between images and text.
  • Selective Filtering: Apply a similarity score threshold to filter and retain images within the specified range.
  • Use Case: Ideal for applications such as content moderation, where images must match a certain textual description or theme.

Quick Start

Use the image_text_similarity_filter skill to filter images with a similarity score between 0.2 and 0.9 to the text 'a photo of a cat'.

Frequently Asked Questions about image_text_similarity_filter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I filter images based on image-text similarity?▼

To filter images based on image-text similarity, you calculate scores using a specified HuggingFace CLIP model and apply a threshold to retain matching images.

How does CLIP model similarity filtering work for content moderation?▼

CLIP model similarity filtering calculates the similarity between images and reference text, allowing you to selectively retain images that match a specific textual description or theme for content moderation.

Do I need to install data_juicer to calculate image-text similarity?▼

Yes, you must install the data_juicer library to perform the image-text similarity computation required for executing the filtering process.

Can I set a specific score range when filtering images with a CLIP model?▼

Yes, you can apply a selective filtering threshold to retain images with similarity scores within a defined range, such as between 0.2 and 0.9 for a given text prompt.

What are the limitations of using HuggingFace CLIP for image categorization?▼

Using HuggingFace CLIP for image categorization limits you to filtering based on textual similarity scores, requiring predefined text prompts and threshold ranges to identify and select relevant samples.

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