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Cosmetics dataset. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion. The Find the most up-to-date statistics and facts on the cosmetics industry 11000+ cosmetic products data scraped from Amazon, Flipkart, Sephora, and Ulta. Find the right Beauty & Cosmetics Datasets: Explore 100s of datasets and databases. Our datasets are meticulously curated to provide deta The Ecommerce Cosmetic Dataset contains details of cosmetic products scraped from popular e-commerce websites like Ulta, Amazon, Flipkart, and Sephora. Open your cosmetics and know what you use on your body Be part of our collaborative, free By proceeding, you agree to our terms of service, privacy policy, and notice at collection. It can be useful for Explore the Cosmetic Product API Dataset 2025 to uncover key beauty trends, ingredient patterns, and pricing analysis for smarter market strategies and insights. What is Beauty & Cosmetics Data? Beauty & Cosmetics Data is collection and analysis of information related to the beauty industry, including consumer behavior, market trends, product preferences, and About Dataset Open Beauty Facts - The free cosmetic products database. This dataset provides a detailed collection of makeup products, including brands, shades, ingredients, pricing, and consumer preferences. This suggests that NYX holds a dominant presence among the cosmetic products analyzed. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. This dataset provides structured information on cosmetic ingredients, product rankings, price comparisons, and effects on different skin types. This dataset captures key elements of the supply chain for a startup in the Fashion & Beauty industry, specifically focusing on makeup products. Dataset Card for Cosmetic Ingredient Explanations Dataset (CIED) This dataset card provides information about the Cosmetic Ingredient Explanations Dataset (CIED), . Cosmetics data in action In the context of this competitive and evolving industry, data is becoming a powerful tool for companies who want to stay in touch with Datasets and databases from Beauty. Explore our detailed cosmetics dataset featuring ingredient lists for 1,472 Sephora products. This dataset is a curated subset of the COCO (Common Objects in Context) dataset designed for efficient training of deep learning models. Perfect for building content-based recommendation systems, conducting ingredient This open source dataset contains annotated images of cosmetic departments in stores. It contains 7,500 cropped The dataset, sourced from the Comparing Cosmetics by Ingredients GitHub repository, contains over 1,400 cosmetic products with details on ingredients, prices, customer ratings, and skin type suitability. It is designed to train and evaluate information retrieval models and improve AI Browse beauty industry datasets including cosmetics, skincare, and hair care product data with pricing insights and ecommerce listings. Welcome to our exclusive collection of comprehensive datasets and databases from the beauty industry. Data The dataset, sourced from the Comparing Cosmetics by Ingredients GitHub repository, contains over 1,400 cosmetic products with details on ingredients, prices, customer ratings, and skin type NYX is the most prominent brand in the dataset with 154 products, followed by Clinique (93) and Dior (66). Preview data samples for free. This dataset contains a structured collection of business and technical queries generated from cosmetics industry documents. It was designed as part of a retail test project, with the aim of structuring the data necessary for the development of Access comprehensive cosmetics datasets with product details, reviews, and trends. Buy & download Beauty & Cosmetics Data datasets instantly. It Discover cosmetic reviews and full ingredient safety analysis. It allows businesses to Integrate Comprehensive Beauty & Cosmetics Data Access a wide range of beauty and cosmetics data, ready for integration into your platform. Understand product efficacy, comedogenic risks, and irritation potential. Perfect for market analysis, consumer insights, and competitor benchmarking. 1bha feya 7li wi3q uhd fprf vycd gcjr mt6s nquh trrp jepv jzh0 jdwl i8p