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README.md
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license: other
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---
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- 1K<n<10K
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license: other
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---
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# Dataset Summary
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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.
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- **Data format:** Image files with associated integer labels.
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- **Sources:** Publicly available images from various web sources (This dataset is one unified collections).
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- **Purpose:** Educational and research use.
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## Dataset Structure
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The dataset follows the standard Hugging Face `Image` format:
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| Column | Type | Description |
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| :--- | :--- | :--- |
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| `image` | `Image` | The visual data (decoded PIL image). |
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| `label` | `int64` | Category ID (specific labels to be defined). |
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## Quick Start
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To use this dataset in Python:
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("wheres-my-python/floorplans-cityscapes")
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# See a sample
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print(dataset['train'][0])
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# To view an image
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# dataset['train'][0]['image'].show()
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