Project
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Salesforce Blip Image Captioning
Custom API for Alt Text Generation with AI
Project information
I built the Image Captioning API using the Salesforce BLIP (Bootstrapping Language-Image Pre-training) Image Captioning model to generate descriptive alt text for images. This API is designed to accept an image URL, process the image through the BLIP model, and return a human-readable description of the image. This functionality is particularly useful for enhancing accessibility and SEO by providing meaningful alt text for images.
How It Works
Input: The client sends a GET request to the API endpoint with the
url
parameter specifying the image URL.Processing:
The API fetches the image from the provided URL.
The fetched image is then passed to the Salesforce BLIP Image Captioning model.
The BLIP model processes the image and generates a textual description.
Output: The API returns a JSON response containing the generated description.
Example Request
Example Response
Use Cases
Accessibility: Automatically generate alt text for images to improve web accessibility for visually impaired users.
SEO: Enhance search engine optimization by providing descriptive alt text for images.
Content Management: Assist content creators in generating descriptions for large numbers of images efficiently.
Advantages
Efficiency: Automates the process of generating descriptive alt text, saving time and effort.
Consistency: Ensures a consistent style and quality of descriptions across all images.
Scalability: Capable of handling requests for multiple images efficiently, making it suitable for large-scale implementations.
Limitations
Accuracy: While the BLIP model provides high-quality descriptions, the accuracy may vary depending on the complexity and context of the images.
Dependency on Image Quality: The quality of the generated description may depend on the clarity and detail of the input image.
This API serves as a robust tool for automatically generating descriptive text for images, leveraging advanced AI models to enhance user experience and content accessibility.