# Synthetic Sofa Interior Images Dataset

## Dataset Description
This dataset contains **1,000 synthetic images of sofas in indoor living room environments**, generated using a text-to-image diffusion model.  
The dataset was created as part of an AI project focused on visual similarity, embeddings, and recommendation systems.

The images depict a wide range of sofa styles, colors, and interior design aesthetics, and are intended for use in computer vision tasks such as image embeddings, similarity search, and recommendation pipelines.

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## Data Generation
The images were synthetically generated using a Stable Diffusion XL (SDXL) model with carefully designed prompts describing sofas in various interior styles (e.g., Scandinavian, Industrial, Classic, Modern).

Generation parameters were chosen to balance image quality and diversity:
- Resolution: 512×512
- Diverse prompts and color variations
- Negative prompts to reduce artifacts and unrealistic outputs

The full data generation process is documented in the provided notebook:
- `synthetic_data_generation.ipynb`

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## Exploratory Data Analysis (EDA)

Exploratory Data Analysis was conducted to assess data quality and consistency.

### Dataset Overview
- Total images: 1,000
- File format: JPG
- Naming convention: sequential (`sofa_0000.jpg` to `sofa_0999.jpg`)

### Visual Inspection
- Random samples of images were visually inspected.
- The majority of images depict realistic sofas in indoor living room scenes.
- A small number of visually atypical images were observed but retained to avoid introducing subjective bias.
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![image](https://cdn-uploads.huggingface.co/production/uploads/6915998b736cc8b46e46c1d0/6LrpK16hr55uTdyX1ciz1.png)

### Automated Integrity Checks
- All images were successfully loaded without corruption.
- No missing or unreadable files were found.
- All images share a consistent resolution of **512×512 pixels**.

### Brightness Distribution
- Image brightness distribution shows a balanced range of lighting conditions.
- No extreme bias toward overly dark or overly bright images was detected.
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![image](https://cdn-uploads.huggingface.co/production/uploads/6915998b736cc8b46e46c1d0/6Lom34vXzufdzfl0thTaG.png)

Based on the EDA, the dataset was deemed clean and suitable for downstream embedding extraction and similarity-based tasks.

The full EDA process and outputs are documented in:
- `eda.ipynb`

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## Intended Use
This dataset is intended for:
- Image embedding extraction
- Visual similarity search
- Recommendation systems
- Research and educational purposes

It is especially suitable for projects involving multimodal or vision-based representation learning.

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## Limitations
- The dataset is fully synthetic and may not capture all nuances of real-world photography.
- No explicit labels (e.g., style categories) are provided.
- Visual diversity depends on prompt design and generation settings.

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## Files in This Repository
- `sofa_dataset_images/` – Image files
- `eda.ipynb` – Exploratory Data Analysis notebook
- `synthetic_data_generation.ipynb` – Synthetic data generation notebook
- `README.md` – Dataset documentation

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