Home/Retail/Thick-soled Shoe Occlusion Image Dataset

Thick-soled Shoe Occlusion Image Dataset

V1.0
Latest Update:
2025-10-17
Samples:
5000 records
File Size:
1.2G
Format:
JPG/PNG/JSON
Data Domain:
Image
Holder:
MOBIUSI INCMOBIUSI INC
Industry Scope:
object detection | image classification | e-commerce product analysis
Applications:
image segmentation | classification

Brief Introduction

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.

Sample Examples

ImageFile NameResolutionShoe BrandShoe ColorShoe TypeOcclusion DegreeBackground ComplexityLighting ConditionsViewing AngleHuman PresenceDecorative ElementsScene Type
c3836c4ea8fa725581183463c67455d0.png1500*2823UnrecognizedBlack and WhiteSneakersUnobstructedSimpleBrightSide viewYesNo obvious decorationIndoor
4bfdb1674677e8acc865e6175f5455d1.png1500*1139UnknownBlack and WhiteSneakersUnobstructedSimpleBrightSide viewNoNo obvious decorative elementsIndoor
6cb4be7faa20ce4359ba9955093409fe.png1500*1067UnknownBlack and WhiteCanvas ShoesPartially obstructedSimpleBrightOverhead viewNoNoneIndoor
32cac983349ece2f52a7fdab10a07d00.png1500*1691UnknownBlack and WhiteHigh-top SneakersShoes clearly visibleSimple, floor tilesBrightTop-downYesLace embellishmentsIndoor

Data Structure

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

ItemContent
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

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