latent-geometry

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SPAICOM / semasia-datasets

Large-scale dataset of latent embeddings from ~1700 pretrained vision models across 8 image benchmarks. Enables studying latent geometry, benchmarking semantic alignment methods, and regressing how pretraining strategies shape embedding structure.

dataset representation-learning latent-space semantic-communication latent-geometry

Updated Jul 4, 2026
Python

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