Overview Our dataset is about second-hand fashion making it a valuable resource for researchers, fashion enthusiasts, and data scientists interested in analyzing and understanding the second-hand clothing market. It provides a large collection of clothing items with detailed attributes, allowing for comprehensive analysis of various factors related to second-hand fashion. Dataset Details - The dataset includes attributes that are unique to second-hand fashion, such as damage, stains, and more. Whenever possible, ISO standards have been followed to define these attributes on a 1-5 scale (ex: `pilling`), ensuring consistency and comparability across the dataset. - The data has been annotated by a group of expert second-hand sorters at Wargön Innovation AB, ensuring high-quality and accurate attribute information. - Images are provided for each clothing item, including front and back views, as well as a separate close-up image of the brand. The image resolutions mostly come in two sizes: `1280x720` and `1920x1080`. Please note that some brand images may be missing. - This dataset represents approximately 10% of the total dataset that will be eventually created for the Vinnova funded project "AI for resource-efficient circular fashion." The project involves collaboration between RISE Research Institutes of Sweden AB and Wargön Innovation AB. - Some attributes such as `price` should be considered with caution. Many distinct pricing models exist in the second-hand industry: price by weight, price by brand and demand (similar to first-hand fashion), generic pricing at a fixed value (for example, 1 Euro or 10 SEK). Wargön Innovation AB does not set the prices in practice. These prices are suggestive only. Dataset Structure The annotations are structured in JSON format, with each clothing item represented as a JSON object. Each object contains various attributes, including brand, category, type, size, colors, season, price, and more. Partners The data collection for this dataset has been carried out in collaboration with the following partners: 1. RISE Research Institutes of Sweden AB: RISE is a leading research institute dedicated to advancing innovation and sustainability across various sectors, including fashion and textiles. 2. Wargön Innovation AB: Wargön Innovation is an expert in sustainable and circular fashion solutions, contributing valuable insights and expertise to the dataset creation. Contribution We encourage researchers, data scientists, and fashion enthusiasts to contribute to the dataset by providing additional annotations, images, or insights. Your contributions will help enhance the dataset's comprehensiveness and value, enabling further advancements in AI-driven circular fashion. Citation Please use the DOI associated with the Zenodo release and look at the sidebar for citation information. License The Clothing Dataset for Second-Hand Fashion is made available under the CC-BY 4.0 license. Please refer to the LICENSE file for more details.