Mobiusi

Thick-soled Shoe Occlusion Image Dataset

#image segmentation #classification #object detection #image classification #e-commerce product analysis
  • 5000 records
  • 1.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

The retail e-commerce sector is currently facing challenges in accurately recognizing products in images due to various occlusions and distortions. Existing solutions often struggle with partially obscured items or unfavorable shooting angles, leading to inconsistent recognition rates. This dataset aims to address these technical challenges by providing a rich set of images featuring thick-soled shoes under varying conditions of occlusion and interference. Data collection involved capturing images from multiple angles and under diverse lighting conditions using high-resolution cameras, ensuring a comprehensive dataset. Quality control measures included multi-round annotations, consistency checks by domain experts, and thorough reviews of each image to ensure accuracy. The dataset is organized in JPG format, with each image labeled according to its unique ID, occlusion level, angle, and any foreground objects present.

Dataset Insights

Sample Examples

c3836c4e**.png|1500*2823|2.06 MB

4bfdb167**.png|1500*1139|959.28 KB

6cb4be7f**.png|1500*1067|1.40 MB

32cac983**.png|1500*1691|2.05 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
shoe_brandstringThe brand of the shoes appearing in the image.
shoe_colorstringThe primary color of the shoes in the image.
shoe_typestringThe type of shoes in the image, such as sneakers, high heels, etc.
obstruction_levelstringThe degree to which the shoes are occluded in the image.
background_complexitystringThe complexity of the image background.
lighting_conditionstringThe lighting conditions during shooting, such as bright, dim, etc.
angle_of_viewstringThe viewing angle when capturing the image, such as front, side, etc.
human_presencebooleanWhether there is a human presence in the image.
decorative_elementsbooleanWhether there are decorative elements on the shoes, such as accessories, prints, etc.
scene_typestringThe type of scene where the picture is taken, such as indoor, outdoor, etc.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Thick Sole Shoes Product Occlusion Recognition Image Dataset?
The Thick Sole Shoes Product Occlusion Recognition Image Dataset is an image dataset specifically designed for e-commerce in retail, aimed at improving the accuracy of product recognition for thick sole shoes under occlusion conditions.
How does this dataset help improve recognition accuracy on e-commerce platforms?
By offering images of thick sole shoes under various occlusion scenarios, this dataset aids in training models to better recognize and classify occluded products, thus improving recognition accuracy on e-commerce platforms.
Which retail sectors is this dataset applicable to?
The Thick Sole Shoes Product Occlusion Recognition Image Dataset is primarily applicable to online shoe retailers, especially e-commerce platforms aiming to optimize their product display and search capabilities.
What are the technical requirements for the Thick Sole Shoes Product Occlusion Recognition Image Dataset?
This dataset requires technical capabilities in image data processing and object detection to effectively train and test models for recognizing occluded products.
What advantages does this dataset offer for object detection applications?
For object detection applications, this dataset offers the advantage of providing occlusion scenarios specific to thick sole shoes, which aids in enhancing the accuracy of recognizing this particular product type.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2025,
  title={Thick-soled Shoe Occlusion Image Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/7db99160fe6aa4f5e15fc6880749c656?dataset_scene_id=9},
  urldate={2025-08-28},
  keywords={shoe occlusion dataset,image segmentation retail,e-commerce image dataset,object detection shoes,thick-soled shoes},
  version={1.0}
}

Using this in research? Please cite us.

placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder

Popular Dataset Searches