📄️ 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
As a society, we are increasingly surrounded with visual data. From social media to streaming video to machine vision, visual datasets are only getting larger and more complex. As such, the tools available to navigate and interact with this data are getting more powerful all the time. At ApertureData, we strive to create a platform that allows our users access to this data in any way they choose. Critical to this is the ability to describe data using arbitrary features, and navigate a dataset using any feature space.
📄️ 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.