地球资源数据云——数据资源详情

巧克力分类

Name: 巧克力分类
Published: 2026-03-17 15:34:24

发布时间：2026-03-17 15:34:24资源ID：2033809130710798337资源类型：免费

该数据集《Chocolate Classification》主要用于二分类任务，数据形态以图像为主。题目说明：Dataset to classify between white & dark chocolates from brands like Godiva, etc 任务类型：图像二分类。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。 Hi Everyone I have a deep love for chocolates and I wanted to share this love with the community via a dataset. I hope you have fun with it! and if you did I would really appreciate an upvote <img src="https://www.googleapis.com/download/storage/v1/b/kaggle - user - content/o/inbox%2F2862643%2Fcdebf0a07a4d3ce850f966929a3c4a95%2FImage_1.jpeg?generation=1658239396446139&alt=media"> <img src="https://www.googleapis.com/download/storage/v1/b/kaggle - user - content/o/inbox%2F2862643%2F3fabbaf24d02d97cf79d1d993abcfbe0%2FImage_139.jpeg?generation=1658239430036146&alt=media"> Dataset Description Around 70 images for each type of chocolate - dark and white for binary classification (Colored and mostly chocolate bars). I will be publishing a demo notebook soon.

摘要概览

该数据集《Chocolate Classification》主要用于二分类任务，数据形态以图像为主。题目说明：Dataset to classify between white & dark chocolates from brands like Godiva, etc

任务类型：图像二分类。

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。

Hi Everyone I have a deep love for chocolates and I wanted to share this love with the community via a dataset. I hope you have fun with it! and if you did I would really appreciate an upvote

Dataset Description Around 70 images for each type of chocolate - dark and white for binary classification (Colored and mostly chocolate bars). I will be publishing a demo notebook soon.