dhavala/autotrain-data-square-count-classifier
收藏Hugging Face2023-02-05 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/dhavala/autotrain-data-square-count-classifier
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资源简介：
该数据集是用于square-count-classifier项目的AutoTrain自动处理数据集，任务类别为图像分类。数据集的语言代码为unk，表示语言未知。数据集包含28x28的PIL图像和对应的类别标签，标签为0或1。数据集划分为训练集和验证集，训练集包含394个样本，验证集包含40个样本。
This dataset is an auto-processed dataset via AutoTrain for the square-count-classifier project, with the task category being image classification. The language code of the dataset is "unk", indicating that the language is unknown. The dataset comprises 28×28 PIL images and their corresponding category labels, where the labels are either 0 or 1. The dataset is split into a training set and a validation set: the training set contains 394 samples, while the validation set includes 40 samples.
提供机构：
dhavala
原始信息汇总
数据集概述
任务类别
- 图像分类
数据集描述
- 用于项目：square-count-classifier
- 语言代码：unk
数据集结构
数据实例
- 示例数据包含图像和目标标签： json [ { "image": "<28x28 L PIL image>", "target": 0 }, { "image": "<28x28 L PIL image>", "target": 0 } ]
数据集字段
- 包含以下字段： json { "image": "Image(decode=True, id=None)", "target": "ClassLabel(names=[green, red], id=None)" }
数据集分割
- 分割为训练集和验证集：
- 训练集样本数：394
- 验证集样本数：40
