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spaicom-lab/semasia-tiny-imagenet

Latents for tiny-imagenet (timm)     This repository hosts precomputed latent representations (embeddings) extracted from timm image-classification backbones on tiny-imagenet, released as part of SEMASIA — a large-scale resource for studying semantic communication, cross-model latent space alignment, and explainability. Each config corresponds to a single model; only that model's Parquet files are read on load_dataset. Usage Load with… See the full description on the dataset page: https://huggingface.co/datasets/spaicom-lab/semasia-tiny-imagenet.

Author / organizationspaicom-lab
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Created11 February 2026
Last updated at source2 July 2026
semantic-communicationexplainabilitylatent-space-alignmentinterpretabilityimage-classificationtimm
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