HackerEarth Holiday season

一个电子商务平台正在为季后清仓大甩卖做准备，并计划利用社交媒体作为吸引受众的主要渠道。该活动的目标人群是最近张贴过室内圣诞节装饰图片或在假期旅行的个人/家庭。您需要使用深度学习来开发一个模型，该模型根据图片中的元素对图片进行分类。这些元素应与装饰或假期休假相关，例如雪人，圣诞树，航班等。

A major e-commerce platform is preparing for an off-season clearance sale and plans to use social media as the primary channel to attract its target audience. The target audience for this campaign comprises individuals or households who have recently posted images of indoor Christmas decorations or traveled during the holiday season. You are required to develop a deep learning model for image classification, where the classification is based on elements present in the images that are related to holiday decorations or vacations, such as snowmen, Christmas trees, flights, and the like.

搜集汇总

背景与挑战

背景概述

该数据集名为'HackerEarth Holiday season'，旨在支持一个电子商务平台的季后清仓活动，通过社交媒体针对发布过室内圣诞节装饰或假期旅行图片的用户进行营销。它要求使用深度学习模型对图像中的节日相关元素（如雪人、圣诞树）进行分类，以辅助目标受众识别。