地球资源数据云——数据资源详情
黑客地球假期
该数据集《HackerEarth Holiday season》主要用于多分类任务，数据形态以图像为主，应用场景偏向文本内容分析。 题目说明：HackerEarth dataset on classic computer vision classification challenge. 任务类型：图像多分类。 建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 Context An e - commerce platform is getting all geared up for a season clearance sale and plans to leverage social media as the primary channel to reach their audiences. The campaign’s target group are individuals/families that have recently posted a picture of their indoor Christmas decor or are traveling during the holidays. Content What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements
摘要概览
该数据集《HackerEarth Holiday season》主要用于多分类任务，数据形态以图像为主，应用场景偏向文本内容分析。 题目说明：HackerEarth dataset on classic computer vision classification challenge.
任务类型：图像多分类。
建议流程：先检查类别分布与脏样本，再用迁移学习（如 ResNet/EfficientNet）建立基线。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。
Context
An e - commerce platform is getting all geared up for a season clearance sale and plans to leverage social media as the primary channel to reach their audiences. The campaign’s target group are individuals/families that have recently posted a picture of their indoor Christmas decor or are traveling during the holidays.
Content
What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.
Acknowledgements