Dev
Terahertz Imaging (THz) — Dev Tier
(3 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| pulse_chirp | -0.024 – 0.036 | ps^2 |
| water_vapor_absorption | 0.052 – 0.172 | 1/cm |
| beam_alignment_error | -0.24 – 0.36 | mm |
| dynamic_range_drift | 0.976 – 1.036 | - |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | THz-Former + gradient | 0.709 | 28.14 | 0.884 | 0.87 | ✓ Certified | THz reconstruction transformer, 2024 |
| 2 | THz-Net + gradient | 0.631 | 24.3 | 0.779 | 0.88 | ✓ Certified | Ahi et al., Opt. Express 2020 |
| 3 | PnP-SPIRAL + gradient | 0.590 | 23.47 | 0.749 | 0.78 | ✓ Certified | Harmany et al., IEEE TCI 2012 |
| 4 | Wiener-THz + gradient | 0.520 | 20.09 | 0.603 | 0.89 | ✓ Certified | Jepsen et al., Laser Photon. Rev. 2011 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 3
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%