spaicom-lab/semasia-imagenet-1k

Latents for imagenet-1k (timm)     This repository hosts precomputed latent representations (embeddings) extracted from timm image-classification backbones on imagenet-1k, 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… See the full description on the dataset page: https://huggingface.co/datasets/spaicom-lab/semasia-imagenet-1k.