Hidden
X-ray NDT (Radiography) — Hidden Tier
(3 scenes)Fully blind server-side evaluation — no data download.
What you get
No data downloadable. Algorithm runs server-side on hidden measurements.
How to use
Package algorithm as Docker container / Python script. Submit via link.
What to submit
Containerized algorithm accepting y + H, outputting x_hat + corrected spec.
Parameter Specifications
🔒
True spec hidden — blind evaluation, only ranges available.
| Parameter | Spec Range | Unit |
|---|---|---|
| source_position_error | -0.14 – 0.46 | mm |
| beam_hardening | -0.014 – 0.046 | - |
| detector_gain_drift | 0.993 – 1.023 | - |
| geometric_magnification | 1.972 – 2.092 | - |
Hidden Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PnP-ADMM + gradient | 0.660 | 26.54 | 0.847 | 0.78 | ✓ Certified | Venkatakrishnan et al., 2013 |
| 2 | FBPConvNet + gradient | 0.632 | 25.24 | 0.81 | 0.78 | ✓ Certified | Jin et al., IEEE TIP 2017 |
| 3 | FBP + gradient | 0.630 | 25.16 | 0.807 | 0.78 | ✓ Certified | Kak & Slaney, IEEE Press 1988 |
| 4 | DR-GAN + gradient | 0.590 | 23.4 | 0.746 | 0.79 | ✓ Certified | Zhang et al., NDT&E Int. 2021 |
Dataset
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%