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棋子检测图像数据集

发布时间:2026-03-17 14:32:01资源ID:2031262709252001794资源类型:免费

该数据集《Chess Pieces Detection Images Dataset》主要用于多分类任务,数据形态以图像为主。 题目说明:Image Dataset for Chess Pieces Identification. 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 This can be a great Computer Vision or Multi - Class Deep Learning Project. Content The Folder names are self - explanator, they contain the names of the Pieces and the Images are singular images so that the dataset tidy. Multiple object images have been deleted making it an easy dataset to work with. Inspiration I am an amateur chess player and a Chess fan, plus I did not come across any great datasets like this on the Internet and so decided to make this one.

棋子检测图像数据集

摘要概览

该数据集《Chess Pieces Detection Images Dataset》主要用于多分类任务,数据形态以图像为主。 题目说明:Image Dataset for Chess Pieces Identification.

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

This can be a great Computer Vision or Multi - Class Deep Learning Project.

Content

The Folder names are self - explanator, they contain the names of the Pieces and the Images are singular images so that the dataset tidy. Multiple object images have been deleted making it an easy dataset to work with.

Inspiration I am an amateur chess player and a Chess fan, plus I did not come across any great datasets like this on the Internet and so decided to make this one.