104 real QR code images that ordinary decoders fail on, with byte-level ground
truth where it could be established, geometric annotations, and per-image results
for eight reference decoders.
This is a test set, not a training set. It exists to make QR decoder claims
falsifiable: every image here was collected because something failed on it, so
the distribution is deliberately adversarial rather than representative.
