| --- |
| pretty_name: TAID Dataset |
| license: cc-by-4.0 |
| tags: |
| - intrinsic-image-decomposition |
| - terrain |
| - synthetic |
| --- |
| |
| # TAID-Dataset |
|
|
| Terrain intrinsic decomposition dataset with 16,000 scenes and one row per scene. |
|
|
| ## Columns and numeric spaces |
|
|
| - `Input`, `A`, `S`, `V`: 8-bit RGB PNG. Byte values represent linear values in |
| `[0, 1]`, quantized as `round(clamp(x, 0, 1) * 255)`. No sRGB/gamma transfer |
| function is applied. |
| - `D`: NumPy `.npy` bytes (`float32`, HWC RGB), in linear HDR space `[0, 5]`. |
| - `water_mask`: 8-bit one-hot RGB PNG (`R=water`, `G=terrain`, `B=sky`). |
| - `D_filename`: original-style filename for the corresponding NPY payload. |
|
|
| Load diffuse shading with: |
|
|
| ```python |
| import io |
| import numpy as np |
| from datasets import load_dataset |
| |
| row = load_dataset("ShunTatsukawa/TAID-Dataset", split="train")[0] |
| D = np.load(io.BytesIO(row["D"]), allow_pickle=False) |
| ``` |
|
|
| The source diffuse target used `log1p(D) / log1p(5)`. This repository stores |
| the inverse-transformed value `expm1(encoded * log1p(5))`; it is not log-space. |
|
|
| ## License |
|
|
| This dataset is licensed under the Creative Commons Attribution 4.0 |
| International License (CC BY 4.0). |
|
|
