spaicom-lab/semasia-celeba

Latents for celeba (timm)     This repository hosts precomputed latent representations (embeddings) extracted from timm image-classification backbones on celeba, 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 datasets and convert… See the full description on the dataset page: https://huggingface.co/datasets/spaicom-lab/semasia-celeba.

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