ImageEmbedding

API reference for ImageEmbedding

ImageEmbedding

Represents custom features derived from image embeddings for visual content analysis.

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

)

source_column : str