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    Visual Question Answering

    Answer natural language questions about image content

    Note: This playground provides simulated output to showcase functionality. No input data is processed or stored on our servers. Use this demo to explore the feature extractor's capabilities before integrating it into your application.

    Input

    Enter a URL to a image file

    Drag and drop a image file here, or click to browse

    The VQA model to use. Default: blip-vqa

    Maximum answer length. Default: 20

    Number of alternative answers to generate. Default: 3

    Whether to include context in the answer. Default: true

    Output

    {
    "question": "What color is the car?",
    "answer": "red",
    "confidence": 0.96,
    "alternative_answers": [
    "crimson",
    "maroon"
    ],
    "context": "image contains a red sports car parked on a street"
    }