Global Insights on Fashion Trends by Style, Category & Color

The GenZ fashion trend dataset is a curated collection of fashion data aimed at understanding the preferences and behaviors of GenZ consumers. This sample dataset contains information and insights that can be used to analyze trends, product and style popularity enabling you to drive strategic decision making in the fashion, e-commerce and retail industry. Perfect for training and benchmarking multimodal AI models for fashion understanding, visual search, image-based recommendation, and automated tagging. <p><br/></p> Key attributes of this sample dataset: - Brand: The brand of the product (e.g. "Zara", "Nike"). - Product Name: The name or description of the product (e.g. "Oversized hoodie"). - ID: Unique identifier for each record in the dataset. - Color: The primary color or color combination of the product (e.g. "Black", "Pastel Blue"). - Save count: A metric indicating the number of items a product has been saved or favorited by a consumer, reflecting its popularity. - Image: An image path or URL to the product image, which can be used for visual analysis or training computer vision models. - Date: The time when the item was published.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于GenZ消费者的时尚趋势，提供品牌、产品名称、颜色等关键属性，可用于分析流行度和支持多模态AI模型训练。它旨在帮助时尚、电商和零售行业进行战略决策，适用于视觉搜索、图像推荐等任务。