metadata
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:
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("wheres-my-python/floorplans-cityscapes")
# See a sample
print(dataset['train'][0])