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    Training

    Automatic Image Tagging Pipeline

    Automatically tag images with objects, scenes, colors, and custom labels using computer vision models. Perfect for DAM systems and media libraries.

    image
    Single Tier
    4.1K runs
    Deploy Recipe
    from mixpeek import Mixpeek
    client = Mixpeek(api_key="YOUR_API_KEY")
    namespace = client.namespaces.create(name="image-tags")
    collection = client.collections.create(
    namespace_id=namespace.id,
    name="product-photos",
    extractors=["image-classification", "object-detection", "color-extraction"]
    )
    # Upload images
    client.buckets.upload(
    collection_id=collection.id,
    url="s3://your-bucket/photos/"
    )
    # Query by tags
    results = client.documents.search(
    namespace_id=namespace.id,
    filters={"tags": {"$contains": "outdoor"}}
    )

    Feature Extractors

    Object Detection

    Identify and locate objects within images with bounding boxes

    631K runs

    Retriever Stages