Image tagging issue in openai vision

API
1

I was trying to analyze multiple images through open ai vision, and I’m getting the correct outputs, but since there is not tagging mechanism for the images I’m unable to map the response of openAI to request image.

Is there any way to tag image while passing it to openAI?

1 Like
2

If you’re experiencing issues with image tagging in OpenAI Vision, it could be related to several factors, such as incorrect tags, missing context, or inaccurate image analysis. Make sure that your images are clear, high-quality, and contain distinct elements that are easy for AI to recognize. Additionally, review the accuracy of tags and test the system’s performance on different images to improve results. For more professional AI development solutions, you can explore DigiXValley’s where they provide customized AI solutions, including image recognition and tagging.

3

Hello!

Yes, you can tag images when passing them to OpenAI. The API allows you to interleave text and images in the “content” field, which means you can provide additional metadata context or tags alongside each image.

Here’s an example of how you might do this:

from openai import OpenAI

client = OpenAI()

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "Analyze the following images:"},
                {"type": "text", "text": "[0] img_8333.jpg"},
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://i.imgur.com/TRCIGSOQ.jpeg"
                    }
                },
                {"type": "text", "text": "[1] img_8334.jpg"},
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://i.imgur.com/qD4l3Sn.jpeg"
                    }
                }
            ]
        }
    ],
    max_tokens=300,
)

print(response.choices[0])

In this example, the messages array contains both text and image content. By structuring your content this way, you can include tags or additional information with each image—such as an originating filename or an index number—to help the AI model understand the context better.

This method is helpful for establishing grounding and referencing specific images, especially when you’re working with multiple images and need the AI to associate certain information with each one.

Hope this helps! You can refer to the API reference or search the forum for more information, such as passing base64-encoded images directly in your request. Let me know if you have any more questions.

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