---
task_categories:
- feature-extraction
- image-feature-extraction
- text-to-image
language:
- en
tags:
- ai
- architecture
- infrastructure
- genai
size_categories:
- 1K<n<10K
license: other
---

# Dataset Summary

This is a curated collection of floorplan images sourced from across the internet. It is intended for research in architectural AI, layout generation, and urban scene understanding.

- **Data format:** Image files with associated integer labels.
- **Sources:** Publicly available images from various web sources (This dataset is one unified collections).
- **Purpose:** Educational and research use.

## Dataset Structure
The dataset follows the standard Hugging Face `Image` format:

| Column | Type | Description |
| :--- | :--- | :--- |
| `image` | `Image` | The visual data (decoded PIL image). |
| `label` | `int64` | Category ID (specific labels to be defined). |

## Quick Start
To use this dataset in Python:

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("wheres-my-python/floorplans-cityscapes")

# See a sample
print(dataset['train'][0])