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  license: other
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- Text-to-image dataset containing apartment floorplans sourced for generative AI-based architectural apps.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - 1K<n<10K
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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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+
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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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