📄️ Regions of Interest
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📄️ pytorch_classification
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📄️ Working with a Dataset
Loading a dataset.
📄️ tensorflow_training
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📄️ loaders
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📄️ Image Similarity Search
Image similarity search combines vector search with graph traversal. A descriptor represents an image as a vector; a connection links that descriptor to the stored image. A query finds nearby descriptors and follows their connections to retrieve the corresponding images.
📄️ Filtering, Aggregation, and Facets
Hybrid search combines KNN vector similarity with metadata filters in a single query. ApertureDB applies constraints server-side during the search — not as a post-filter — so results are both semantically relevant and satisfy the condition.