Datasets:

KhangTruong
/

COCO-inpainted-cache

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Error code:   TooBigContentError

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COCO-inpainted-cache

Pre-computed High-Dimensional Forensic Latents for ultra-fast Diffusion-Diff forensics training.

Dataset Details

Source Dataset: KhangTruong/COCO-inpainted
Model Extractor: diffusion_diff_minimized
Cached Channels: 84
Latent Resolution: 64x64 (input 512x512)
Format: Parquet with zstd compression
Status: completed

Schema / Columns

img_id (string): Image identifier.
label (int64): Class label (0: authentic, 1: fully synthetic, 2: tampered/inpainted).
z_high_dim (binary): Pre-computed 84-channel fp16 latent tensor bytes.
mask (binary): Ground-truth binary manipulation mask encoded as PNG bytes.
channels (int64): Total channel count (84).
latent_h (int64): Latent height (64).
latent_w (int64): Latent width (64).

High-Speed Training with SID-UNet

sid-train --config configs/experiments/diffusion_diff_minimized/default.yaml \
          --cached-hf-repo KhangTruong/COCO-inpainted-cache

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