sooyeon1/shoes dataset hosted on Hugging Face and contributed by the HF Datasets community

Diego99dlt/Running-Shoe-Reccomender dataset hosted on Hugging Face and contributed by the HF Datasets community

Shoe-Net-10K Dataset

The Shoe-Net-10K dataset is a curated collection of 10,000 shoe images annotated for multi-class image classification. This dataset is suitable for training deep learning models to recognize different types of shoes from images.

  Dataset Details

Total Images: 10,000

Image Size: Varies (typical width range: 94 px to 519 px)

Format: Parquet

Split:

train: 10,000 images

Modality: Image

License: Apache 2.0

  Labels

The dataset includes 5… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Shoe-Net-10K.

AhmadIshaqai/stylo-women-shoes dataset hosted on Hugging Face and contributed by the HF Datasets community

Context

This Shoe vs Sandal vs Boot Image Dataset contains 15,000 images of shoes, sandals and boots. 5000 images for each category. The images have a resolution of 136x102 pixels in RGB color model.

  Content

There are three classes here.

Shoe Sandal Boot

  Inspiration

This dataset is ideal for performing multiclass classification with deep neural networks like CNNs. You can use Tensorflow, Keras, Sklearn, PyTorch or other deep/machine learning libraries to… See the full description on the dataset page: https://huggingface.co/datasets/Andyrasika/ShoeSandalBootimages.

amissier/amazon-shoe-reviews dataset hosted on Hugging Face and contributed by the HF Datasets community

gerardap4/shoe-soles-lego dataset hosted on Hugging Face and contributed by the HF Datasets community

SzilvasiPeter/amazon-shoe-review dataset hosted on Hugging Face and contributed by the HF Datasets community

aumnikov/amazon-shoe-reviews dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for "amazon-shoe-reviews-scaled"

More Information needed

Dataset Card for Fashionpedia_4_categories

This dataset is a variation of the fashionpedia dataset available here, with 2 key differences:

It contains only 4 categories: Clothing Shoes Bags Accessories

New splits were created: Train: 90% of the images Val: 5% Test 5%

The goal is to make the detection task easier with 4 categories instead of 46 for the full fashionpedia dataset. This dataset was created using the detection_datasets library (GitHub, PyPI), you can check here the… See the full description on the dataset page: https://huggingface.co/datasets/detection-datasets/fashionpedia_4_categories.

This ECSR-Shoes dataset contains 1946 online shoe reviews, corresponding to 359 unique shoe products. It is the first ABSA dataset to contain ACOSI annotations, with annotators identifiying the Aspect, Category, Opinion, Sentiment, and Implicit/Explicit Opinion terms of each review.

Amazon Clothing Shoes and Jewelry 2023 Dataset

Original dataset can be found on: https://amazon-reviews-2023.github.io/

  Dataset Details

This dataset is downloaded from the link above, the category Clothing Shoes and Jewelry meta dataset.

  Dataset Description

The Amazon Clothing Shoes and Jewelry 2023 dataset provides information on products from a diverse ranger of categories, including main attributes like ratings, price, and desciptions. The table below… See the full description on the dataset page: https://huggingface.co/datasets/smartcat/Amazon_Clothing_Shoes_and_Jewelry_2023.

DeepFashion MultiModal Parts2Whole

  Dataset Details





  Dataset Description

This human image dataset comprising about 41,500 reference-target pairs. Each pair in this dataset includes multiple reference images, which encompass human pose images (e.g., OpenPose, Human Parsing, DensePose), various aspects of human appearance (e.g., hair, face, clothes, shoes) with their short textual labels, and a target image featuring the same individual (ID) in the same outfit… See the full description on the dataset page: https://huggingface.co/datasets/LIAGM/DeepFashion-MultiModal-Parts2Whole.

GreatShoes Norwegian PII Dataset

The GreatShoes Norwegian PII Dataset is a synthetic dataset created for research purposes to evaluate models for Personal Identifiable Information (PII) redaction. This dataset is generated to simulate customer support interactions for a fictional shoe store, "Great Shoes," and includes multiple types of PII such as names, order numbers, phone numbers, addresses, and emails, all in Norwegian.

  Dataset Description

The dataset… See the full description on the dataset page: https://huggingface.co/datasets/UlrikKoren/GreatShoes_Norwegian_PII_Dataset.

Dataset Labels

['barricade', 'dumpster', 'excavators', 'gloves', 'hardhat', 'mask', 'no-hardhat', 'no-mask', 'no-safety vest', 'person', 'safety net', 'safety shoes', 'safety vest', 'dump truck', 'mini-van', 'truck', 'wheel loader']

  Number of Images

{'train': 307, 'valid': 57, 'test': 34}

  How to Use

Install datasets:

pip install datasets

Load the dataset:

from datasets import load_dataset

ds =… See the full description on the dataset page: https://huggingface.co/datasets/keremberke/construction-safety-object-detection.