Running Shoe Occlusion Image Dataset
#object detection #image recognition #object detection #image classification #e-commerce analysis
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-02-04
AI Analysis & Value Prop
The retail e-commerce sector is facing challenges in accurately identifying and classifying products due to occlusions caused by environmental factors like grass covering the shoe or motion blur during sports activities. Current datasets often lack diverse scenarios, making it difficult for models to generalize effectively in real-world applications. This dataset aims to address these issues by providing a comprehensive collection of images depicting running shoes under various occlusion conditions. Data was collected using high-quality cameras in outdoor settings, ensuring a wide range of environments. Each image underwent a rigorous quality control process involving multiple rounds of annotation and expert reviews to ensure consistency and accuracy. The images are stored in JPG format, organized systematically by categories of occlusion and shoe types.
Dataset Insights
Sample Examples
7d0ca432**.png|489*480|413.65 KB
0d2bbf9e**.png|606*588|217.00 KB
d771d923**.png|315*480|211.67 KB
7738e325**.png|383*446|265.14 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| obstruction_type | string | The type of occlusion of the running shoes in the image, such as front occlusion, side occlusion, etc. |
| obstruction_degree | string | The level of occlusion, such as high, medium, low, describing how much the running shoes are occluded. |
| shoe_brand | string | The brand of the running shoes in the image. |
| shoe_model | string | The specific model of the running shoes in the image. |
| image_background | string | The type of background in the image, such as indoor, outdoor, shop. |
| lighting_condition | string | The lighting conditions in the image, such as natural light, artificial light, shadow. |
| angle_of_capture | string | The angle information from which the picture is taken, such as front, side, overhead. |
| shoe_color | string | The color of the running shoes in the image. |
| accessory_presence | string | Whether there are accessories in the image, such as socks, shoelaces |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the Running Shoe Occlusion Recognition Image Dataset?
- The Running Shoe Occlusion Recognition Image Dataset focuses on capturing images of running shoes under various occlusion conditions, aiming to improve the recognition accuracy on e-commerce platforms.
- What are the application scenarios for using the Running Shoe Occlusion Recognition Image Dataset?
- This dataset can be utilized to train and optimize image recognition systems on e-commerce platforms for better identification and classification of running shoes, even when they are partially occluded.
- What are the main features of the Running Shoe Occlusion Recognition Image Dataset?
- The dataset's main features include images of running shoes under different occlusion conditions, which assist in improving the accurate recognition and classification of running shoes.
- Why choose an object detection dataset to enhance recognition performance on e-commerce platforms?
- An object detection dataset provides annotated training data that helps models learn how to identify specific objects, such as running shoes, in complex image scenes, thereby enhancing recognition performance.
- How does the Running Shoe Occlusion Recognition Image Dataset help address recognition challenges on e-commerce platforms?
- By covering images with various occlusion conditions, this dataset aids e-commerce platform recognition systems in improving accuracy, especially when dealing with partially occluded objects.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Running Shoe Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/f1805a12a32ae824a3b494fd9c153b79?dataset_scene_id=9},
urldate={2025-08-28},
keywords={running shoe dataset,image occlusion dataset,e-commerce image classification},
version={1.0}
}Using this in research? Please cite us.
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