---
license: cc-by-4.0
task_categories:
  - image-segmentation
tags:
  - texture
  - boundary-detection
  - segmentation
  - materials
size_categories:
  - n<1K
---

# RWTD - Real World Texture Boundary Dataset

A dataset of 253 image crops (256x256), each containing exactly **two adjacent textures** separated by a boundary. Every sample includes per-texture binary segmentation masks and natural-language texture descriptions.

## Dataset Description

Each sample contains:

| Field | Type | Description |
|-------|------|-------------|
| `image` | Image | 256x256 RGB crop |
| `boundary_mask` | Image | Binary boundary between the two textures |
| `texture_a_mask` | Image | Binary mask for texture A |
| `texture_b_mask` | Image | Binary mask for texture B |
| `texture_a` | string | Natural-language description of texture A |
| `texture_b` | string | Natural-language description of texture B |
| `original_texture_a` | string | Short original label for texture A |
| `original_texture_b` | string | Short original label for texture B |
| `crop_name` | string | Sample identifier |
| `oracle_points_a` | string | JSON-encoded list of [x,y] point prompts for texture A |
| `oracle_points_b` | string | JSON-encoded list of [x,y] point prompts for texture B |

## Texture Descriptions

Each texture region is annotated with a rich 5-10 word description emphasizing discriminative visual features (material, pattern, structure). Examples:

- *"smooth curved seashell with radiating ridged lines"*
- *"fine sandy substrate with granular particles"*
- *"rough wood grain with prominent raised texture"*
- *"quilted padded fabric with raised diamond stitching"*

## Usage

```python
from datasets import load_dataset

ds = load_dataset("aviadcohz/RWTD")

sample = ds["train"][0]
print(sample["texture_a"], "—", sample["texture_b"])
sample["image"].show()
```

## Statistics

- **253** samples
- **256x256** pixel crops
- **2 textures** per image with complementary binary masks
- Rich texture descriptions (5-10 words each)
- Oracle point prompts for each texture region