Jeans 牛仔裤数据集

#### 背景描述
该数据集是从在线电子商务网站及其非常原始和垃圾数据中收集的，您可以在行业中为您的数据科学项目获得这些数据。
#### 数据说明
在此类数据上尝试您的图像预处理技能将帮助您了解行业项目中的实时问题和挑战。

它有一些垃圾、部分以及完整的牛仔裤图像。
#### 数据来源
公开数据集
#### 问题描述
**初学：**
将所有图像调整为 48 * 48 大小
将所有图像转换为灰度图像

**进阶：**
对所有图像执行图像遮罩

**高级：**
尝试对牛仔裤图像进行聚类
尝试是否可以根据颜色进行聚类
尝试是否可以基于完整、部分和垃圾牛仔裤图像进行聚类

#### Background Description
This dataset is collected from online e-commerce platforms, consisting of highly raw and noisy data, and is suitable for your data science projects in industrial settings.

#### Data Description
Practicing image preprocessing techniques on this dataset will help you familiarize yourself with the real-world problems and challenges encountered in industrial projects.
It includes a range of defective, partial and complete jeans images.

#### Data Source
Publicly available dataset

#### Problem Description
**Beginner Level:**
1. Resize all images to 48 × 48 pixels
2. Convert all images to grayscale

**Intermediate Level:**
1. Perform image masking on all images

**Advanced Level:**
1. Attempt clustering on the jeans images
2. Investigate whether clustering can be performed based on color features
3. Investigate whether clustering can be conducted based on the categories of complete, partial and defective jeans images