Skate Shoe Occlusion Image Dataset

#object detection #image classification #product recognition #image analysis #computer vision
  • 5000 records
  • 1.5G
  • JPG/PNG/JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-04-13

AI Analysis & Value Prop

The retail e-commerce industry faces significant challenges with product visibility due to occlusions from various sources such as clothing and environmental factors. Existing datasets often lack diversity in occlusion types and fail to address these visibility issues effectively. This dataset aims to address specific technical problems related to object detection and recognition under occluded conditions, fulfilling a critical business need for accurate product identification. The dataset consists of images collected using high-resolution cameras in diverse retail environments, ensuring varied lighting and background conditions. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high accuracy. The images are stored in JPEG format, organized in a structured directory by occlusion types and image quality assessments.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
shoe_typestringIdentify the specific type of skate shoe, such as high-top, low-top, etc.
shoe_colorstringThe main color tone of the skate shoe.
brand_logo_visiblebooleanWhether the brand logo is visible in the image.
obstruction_levelstringThe degree to which the skate shoe is obstructed, such as slight, moderate, severe.
obstruction_objectstringThe specific type of object obstructing the skate shoe, such as hand, foot, other items.
background_claritystringThe clarity of the image background, such as blurry or clear
lighting_conditionstringThe lighting conditions affecting the image effect, such as bright or dim
angle_of_viewstringThe viewing angle of the image, such as front or side
surface_texture_visiblebooleanWhether the texture on the surface of the shoes is clearly visible in the image
wear_and_tear_levelstringThe level of wear shown on the shoes, such as brand new, slightly worn, or obviously worn

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
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 Skate Shoe Occlusion Recognition Image Dataset?
The Skate Shoe Occlusion Recognition Image Dataset is a dataset for researching and developing object detection algorithms, focused on recognizing occluded skate shoes in retail environments.
What industry applications can this dataset be used for?
This dataset is mainly used in the retail industry, particularly in e-commerce platforms to improve product recognition accuracy, and can also be applied in computer vision research.
How was the image data in this dataset collected?
The images in the Skate Shoe Occlusion Recognition Dataset were mainly collected from actual retail settings, including skate shoe images under various occlusion conditions.
What technical issues can be addressed using this dataset?
This dataset can help developers improve the accuracy of image recognition systems in complex environments, particularly in recognizing products that are partially occluded.
What are the advantages of the Skate Shoe Occlusion Recognition Image Dataset?
The advantage of this dataset is its focus on the specific category of skate shoes and its simulation of common occlusion scenarios in e-commerce, making it valuable for retail applications.
How to train a model using the Skate Shoe Occlusion Recognition Image Dataset?
Training a model with this dataset requires selecting an appropriate object detection algorithm and preprocessing images with techniques like normalization and data augmentation to enhance model performance.

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Cite this Work

@dataset{Mobiusi2025,
  title={Skate Shoe Occlusion Image Dataset},
  author={MOBIUSI INC},
  year={2025},
  url={https://www.mobiusi.com/datasets/885c4c31d7bbd15cbb16b34f46246d7b?dataset_scene_id=9},
  urldate={2025-08-28},
  keywords={skate shoe dataset,image occlusion dataset,retail e-commerce images,object detection dataset,computer vision dataset},
  version={1.0}
}

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