| # Synthetic Sofa Interior Images Dataset |
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| ## 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. |
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| 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). |
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| 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 |
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| The full data generation process is documented in the provided notebook: |
| - `synthetic_data_generation.ipynb` |
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| ## Exploratory Data Analysis (EDA) |
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| Exploratory Data Analysis was conducted to assess data quality and consistency. |
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| ### Dataset Overview |
| - Total images: 1,000 |
| - File format: JPG |
| - Naming convention: sequential (`sofa_0000.jpg` to `sofa_0999.jpg`) |
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| ### 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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| ### 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**. |
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| ### 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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| Based on the EDA, the dataset was deemed clean and suitable for downstream embedding extraction and similarity-based tasks. |
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| 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 |
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| 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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