---
license: other
license_name: mixed-ffhq-cc-by-nc-sa-4.0-and-assessor-images
viewer: false
---
# screenpad-data

Data for the screenpad take-home PAD project: 1000 bona fide face images (`Bonafide/`, apparently FFHQ, CC BY-NC-SA 4.0) and 23 phone recaptures of some of them shown on a screen (`Screens/`, same filename as the source image; iPhone 15 x14, Galaxy A12 x9). The attack images were provided by the assessors for the assignment.

| Path | Contents | Fetch |
|---|---|---|
| `raw/screenpad-raw.tar`, `raw/screenpad-raw.sha256` | the original files, byte-identical, in one uncompressed tar, with per-file SHA-256 | `screenpad pull-data` (verifies every file) |
| `data/` | the same files uploaded loose (first upload; slow to fetch, kept for browsing) | |
| `cache/crops_{loose,tight}_384[_aligned].npz` | preprocessed face crops (384 px; loose = 1.25 x, tight = 1.0 x the face box; aligned = eye line levelled), each verified byte-exact against a fresh recompute | `screenpad pull-data --cache` |
| `cache/synth_{loose,tight}_384_train-val.npz`, `cache/synth_params_384_train-val.csv` | synthetic screen recaptures and camera-only controls of train/validation faces, with every sampled simulator parameter | `screenpad pull-data --cache` |
| `cache/shrink_{loose,tight}_384_aligned.npz` | resized bona fide crops for the resampling-shortcut test | |

Splits (by image ID) are made by `screenpad splits`; no test image is used to make any cache except the plain crops.