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Give Meaningful Names To Your Photos With IMG Captioning AI

IntermediateGuided Project

Transform your photo library by replacing those useless image names (like 'image09321.jpg') with meaningful ones, all thanks to generative AI. In this project, use Python and AI to caption your images automatically. Describe any photo, from the web or your device, without needing an API key!"

4.8 (12 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Information Technology

Enrollment Count

  • 112

Skills You Will Learn

  • Python, Generative AI

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 45 min

Platform

  • SkillsNetwork

Last Update

  • July 1, 2025
About this Guided Project
Imagine this: You're in a media company, surrounded by thousands of unnamed pictures like 'image000174'. It's a real headache to find the right picture when you need one. But what if there was a simpler way? 

Our project introduces an automated Image Captioning AI. This clever tool doesn't just look at pictures - it understands them, and, then it creates a text file that acts as an index, giving images meaningful descriptions about what's inside. This way, finding the right picture becomes easy, helping you work more efficiently and making your job a lot easier.
Image captioning can make images more visible.
In fact, images, rich with untapped information, often fly under the radar of search engines and data systems. Transforming this visual data into machine-readable language is no easy task, but it's where image captioning AI shines. Here's how image captioning AI can make a difference:
  1. Improves accessibility: Helps visually impaired individuals understand visual content.
  2. Enhances SEO: Assists search engines in identifying the content of images.
  3. Facilitates content discovery: Enables efficient analysis and categorization of large image databases.
  4. Supports social media and advertising: Automates engaging description generation for visual content.
  5. Aids in education and research: Assists in understanding and interpreting visual materials.
  6. Offers multilingual support: Generates image captions in various languages for international audiences.
  7. Enables data organization: Helps manage and categorize large sets of visual data.
  8. Saves time: Automated captioning is more efficient than manual efforts.
  9. Finds duplicated images: Find similar images with same content and remove duplicants.

A Look at the Project Ahead

In this project:
1. We first implement an image captioning tool utilizing the BLIP model from Hugging Face's Transformers.

2. Next, we employ Gradio to provide a user-friendly interface for our image captioning application.

3. Finally, we adapt the automated tool for real-world business scenarios, demonstrating its practical applications by extracting images from URLs and generating captions.

IBM has a special offer for watsonx.ai, a studio for new foundation models, generative AI and machine learning. To take advantage of this offer visit watsonx.ai homepage. 


What You'll Need

Basic knowledge of Python.

Instructors

Sina Nazeri

Data Scientist at IBM

I am grateful to have had the opportunity to work as a Research Associate, Ph.D., and IBM Data Scientist. Through my work, I have gained experience in unraveling complex data structures to extract insights and provide valuable guidance.

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Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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Contributors

Efkan Serhat Goktepe

Developer | Architect

Efkan is a 4th year student in Computer Science at University of Toronto. Efkan is currently working at IBM as a Software Architect. Contact: efkan@ibm.com.

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