{"url":"/dataset/maadaa-faeco-dataset","name":"maadaa-FaEco Dataset","full_name":"maadaa.ai Fashion & e-Commerce Open Dataset","description_markdown":"The dataset is organized into 24 typical scenarios, showcasing the richness of real-world environments, conditions, and objects. It is carefully curated to reflect diverse and realistic situations, allowing models to be tested and refined under a wide range of conditions.\r\n\r\nThis dataset contains 33 meticulously fine-annotated sub-datasets. Each is labeled and annotated with a high degree of precision. These datasets offer a vast range of potential use cases, from object detection and segmentation to pose estimation and beyond.\r\n\r\nThis dataset provides a unique context in various applications including personalized recommendations, virtual fittings, beauty AI, and product recognition. This extensive, versatile dataset is a significant resource that we believe will inspire a myriad of innovative solutions in the field.\r\n\r\nSource: [https://maadaa.ai/datasets/open-dataset/fashion-ecommerce/](https://maadaa.ai/datasets/open-dataset/fashion-ecommerce/)","description_withheld":null,"homepage":"","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"Attribution-NonCommercial-ShareAlike 4.0 International","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"2D Semantic Segmentation","url":"/task/2d-semantic-segmentation","datasets_with_task":"/datasets/task/2d-semantic-segmentation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["maadaa-FaEco Dataset"],"data_loaders":[],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}