AIDir.app
  • Hot AI Tools
  • New AI Tools
  • AI Tools Category
AIDir.app
AIDir.app

Save this website for future use! Free to use, no login required.

About

  • Blog

© 2025 • AIDir.app All rights reserved.

  • Privacy Policy
  • Terms of Service
Home
Image Captioning
CLIP Score

CLIP Score

Score image-text similarity using CLIP or SigLIP models

You May Also Like

View All
🐨

TrOCR Digit

Identify handwritten digits from sketches

1
😻

Image To Prompt

Generate a detailed caption for an image

365
📉

Image To Flux Prompt

Generate a detailed description from an image

71
💻

Image Caption Generator Listed

Generate captions for uploaded images

0
💬

Joy Caption Pre Alpha

Generate captions for images

1.1K
🤖

Anime Ai Detect

Identify anime characters in images

0
🖼

Image Captioning

Generate captions for images

0
📚

Image To Story

Generate a short, rude fairy tale from an image

11
📉

Florence 2

Ask questions about images to get answers

60
😻

Microsoft Phi-3-Vision-128k

Caption images with detailed descriptions using Danbooru tags

14
😻

Vision Agent With Llava

Generate text descriptions from images

7
🖼

Image Captioning

Generate captions for images

0

What is CLIP Score ?

CLIP Score is a tool designed for image captioning that allows users to score the similarity between an image and a text description. It leverages advanced AI models such as CLIP (Contrastive Language–Image Pretraining) or SigLIP to evaluate how well an image matches a given caption. This scoring system is useful for applications like image retrieval, caption generation, and quality assessment of image-text pairs.


Features

• Image-Text Similarity Scoring: Measures how closely an image matches a text description using state-of-the-art models.
• Support for Multiple Models: Works with both CLIP and SigLIP models, offering flexibility in scoring approaches.
• Fast and Efficient: Designed for quick computations, making it suitable for large-scale applications.
• Customizable: Users can fine-tune settings to adapt to specific use cases.
• Integration-Friendly: Can be easily integrated into existing workflows for image-based tasks.


How to use CLIP Score ?

  1. Input an Image: Upload or provide the image you want to analyze.
  2. Provide Text Description: Enter the text caption or description you want to compare with the image.
  3. Select Model: Choose either the CLIP or SigLIP model for scoring.
  4. Generate Score: Run the tool to calculate the similarity score between the image and text.
  5. Analyze Results: Interpret the score to determine how well the image matches the text description.

Frequently Asked Questions

What models does CLIP Score support?
CLIP Score supports both CLIP (Contrastive Language–Image Pretraining) and SigLIP models, allowing users to choose the best model for their specific needs.

How does the scoring work?
The scoring is based on the similarity between the image and text embeddings generated by the selected model. A higher score indicates a stronger match between the image and the text.

Can I use CLIP Score for real-time applications?
Yes, CLIP Score is designed to be fast and efficient, making it suitable for real-time applications such as image retrieval or caption validation.

Recommended Category

View All
🔤

OCR

📈

Predict stock market trends

🎮

Game AI

🎨

Style Transfer

🚨

Anomaly Detection

🧠

Text Analysis

🌜

Transform a daytime scene into a night scene

🌍

Language Translation

✍️

Text Generation

🗣️

Voice Cloning

🎵

Generate music

⭐

Recommendation Systems

🖼️

Image Generation

📐

3D Modeling

🕺

Pose Estimation