A large collection of deep learning data sets—clothes, shoes, hats, bags

Recently, a large number of data sets related to clothes, shoes and hats, and bags have been collected, including different types of data sets such as clothes, shoes and hats, bags, decorations, etc. Without further ado, I will introduce them to you one by one! !

1. Clothing size recommendation data set

Clothing size recommendation data set, clothing purchase data with fit feedback, review and rating information, the data set contains: ratings and reviews fit feedback (small fits large) customer product measurement category information.

Data viewing address: https://www.dilitanxianjia.com/1704/

2. Image dataset of shoes, sandals and boots

Image dataset of shoes, sandals and boots (15000 images, 5000 images per category. Image resolution is 136×102 pixels with RGB color model.)

Data viewing address: https://www.dilitanxianjia.com/1299/

3. Handbag classification data set

Handbag classification data set, which contains 5 different types of handbags, including: backpack mini, belt bag, large bag, shoulder bag, large tote bag, each category (i.e. handbag type) contains 550 images, all categories The number of pictures is equal.

Data viewing address: https://www.dilitanxianjia.com/1296/

4. Clothing category is designed to classify data set

The clothing category is designed to classify the data set, and 2779 clothing images are divided into 6 categories.

Data viewing address: https://www.dilitanxianjia.com/1293/

5. African traditional hat data set

The African traditional hat data set contains 196 pictures of traditional hats. The data was taken in a showcase.

Data viewing address: https://www.dilitanxianjia.com/1277/

6. Clothing style data set

Clothing style data set, this data set consists of 11,385 pictures, a total of 26 categories of clothing style data sets, divided into 26 folders, each category has an average of about 400 pictures.

Data viewing address: https://www.dilitanxianjia.com/1274/

7. Classification data set of wearing sunglasses and not wearing sunglasses

Classification data set of wearing sunglasses and not wearing sunglasses (1776 pictures without wearing sunglasses, 1475 pictures with wearing sunglasses), the data is divided in a ratio of 8020 during training and validation. Each folder contains a Sunglasses-Non-Sunglasses folder, which contains images classified according to the presence of sunglasses.

Data viewing address: https://www.dilitanxianjia.com/1271/

8. Traditional decorative pattern data set

Traditional decorative pattern data set, the main data set (decor.zip) is 485 color images (150x150x3) of traditional decorative patterns and files with decor.csv tags. The image file format is . png with labels as integers and values. FileDecorColorImages. H5 consists of this collection of preprocessed image tensors and targets (labels).

Data viewing address: https://www.dilitanxianjia.com/1268/

9. Classification data set of Nike, Adidas and Convers shoes

Classification data set of Nike, Adidas and Convers shoes. The test data set contains 114 images and the training data set contains 711 images.

Data viewing address: https://www.dilitanxianjia.com/1265/

10. 8 different colors of clothing category image data sets

A data set of clothing category images in 8 different colors, suitable for multi-label classification.

Data viewing address: https://www.dilitanxianjia.com/1262/

11. 4320 clothing image data sets of 10 types

4320 clothing image data sets of 10 types (clothes patterns include animals, circles, solid colors, diamonds, etc.)

Data viewing address: https://www.dilitanxianjia.com/393/

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Origin blog.csdn.net/weixin_44906759/article/details/135031331
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