ImageEmbedding

ImageEmbedding extends VectorFeature to handle image-based embeddings, providing clustering analysis specifically designed for visual content. This feature type is used to monitor image models and detect visual drift in high-dimensional embedding spaces. The feature type is automatically set to CustomFeatureType.FROM_IMAGE_EMBEDDING and applies clustering to image embeddings for visual pattern analysis.

Examples

Creating an image embedding feature for product photos:

image_feature = ImageEmbedding(
    name="product_image_clusters",
    column="product_embedding",
    source_column="product_image_url",
    n_clusters=15
)

Creating a feature for medical image analysis:

medical_feature = ImageEmbedding(
    name="xray_pattern_clusters",
    column="xray_embedding",
    source_column="xray_image_path",
    n_clusters=10
)

Attributes

Type discriminator; fixed as CustomFeatureType.FROM_IMAGE_EMBEDDING.

Name of the original image column that generated the embedding.

Fiddler Python Client SDK

Fiddler Evals SDK

Fiddler OTel SDK

Fiddler LangGraph SDK

Fiddler LangChain SDK

Fiddler Google ADK SDK

Fiddler Strands Agent SDK

Fiddler OTel JS SDK

Fiddler LangGraph JS SDK

Fiddler LangChain JS SDK

Examples

Attributes

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Examples

Attributes