# Documentation of Sophistasia

## Dataset Summary
This repository contains an annotated dataset of 995 images, categorized into 268 Landscape, 341 Culture, and 386 Street. Each image is accompanied by a description, location, and category. The dataset supports tasks such as image captioning, image-text retrieval, and text-to-image generation, making it a valuable resource.

## Thematic Chosen
This dataset includes three thematic categories: 
- **Landscape**: Focuses on natural and architectural elements.
- **Culture**: Highlights traditions and social practices.
- **Street**: Covers urban environments and public spaces.

These themes provide a comprehensive and diverse dataset.

## Supported Tasks
- **Image Captioning**: The dataset can be used to train a model that automatically generates a description from an image.
- **Image-Text Retrieval**: It can also be used for multimodal search models, linking images and text to retrieve one based on the other.
- **Text-to-Image Generation**: The dataset enables training a model that creates images from textual descriptions.

## File Format
The dataset is provided in the Parquet format, ensuring efficient storage and access.

## Organisation of the Project
The project is organized under the main directory **Sophistasia**. Inside, there is a **data** folder containing a **train** subfolder with the **data.parquet** file. The **images** folder is divided into two sections: 
- **brutes** (with subfolders **culture**, **landscape**, **street** for the original images) 
- **resized** (containing the same subfolders for the resized images). 

A **readme.md** file is also included with project information.

## Field Description
The descriptions of the fields are as follows:
- **image**: A string that represents the filename of the image listed in the "image" folder
- **caption**: A string containing a concise description of the scene depicted in the image.
- **Location**: A string specifying the original location where the image was taken or what it represents.
- **category**: A string indicating the category to which the image belongs.

## Image Sources
The images in this dataset were either:
- Captured by our team members.
- Sourced from copyright-free platforms like Pexels, ensuring they are royalty-free and available for use.

## Contact
For any inquiries, please reach out to:
- **Email**: [info@databoost.us](mailto:info@databoost.us)
- **Website**: [databoost.us](https://databoost.us)