Mountain Shoe Occlusion Image Dataset
#Object Detection #Image Segmentation #Product Recognition #Image Classification #Quality Assurance
- 15000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-05-25
AI Analysis & Value Prop
The retail e-commerce sector is facing significant challenges due to the increasing complexity of product recognition in images affected by various occlusions, such as mud cover, grass camouflage, and motion blur. Existing solutions often struggle with accuracy and robustness, particularly under these challenging conditions. This dataset aims to address these specific technical issues by providing a rich source of images that depict mountain shoes under various occlusion scenarios, which are crucial for training more effective recognition models. The dataset has been compiled using high-resolution photography techniques in diverse outdoor environments, ensuring a variety of occlusion types. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews, ensuring high-quality labeled data. The data is stored in JPG format, organized in a structured manner for easy access and use.
Dataset Insights
Sample Examples
e46ae436**.jpg|788*1050|99.08 KB
510cdcc0**.jpg|1224*1632|201.08 KB
77f5bced**.jpg|762*695|99.01 KB
63c30f1b**.jpg|1198*695|89.60 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| shoe_type | string | Identify the type of hiking shoes appearing in the image, such as low-cut, mid-cut, high-cut. |
| shoe_color | string | Identify the color of the hiking shoes in the image. |
| shoe_brand | string | Identify the brand of the hiking shoes in the image, if the trademark is visible. |
| obstruction_level | string | Identify the degree to which the hiking shoe in the image is obstructed, such as: no obstruction, partially obstructed, completely obstructed. |
| background_scene | string | Identify the background scene in which the hiking shoe is photographed, such as: outdoor mountainous area, indoor environment. |
| image_quality | string | The quality grade of the image, such as: high definition, blurry, low definition. |
| lighting_condition | string | Lighting conditions in the image, such as: bright, dim, backlit. |
| image_orientation | string | Identify the rotation direction of the image, such as: upright, 90 degrees left, 90 degrees right, inverted. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| 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 Mountaineering Shoe Product Occlusion Detection Image Dataset?
- The Mountaineering Shoe Product Occlusion Detection Image Dataset is an object detection dataset specifically designed to enhance the recognition capabilities of retail e-commerce products, containing images of mountaineering shoes being occluded.
- In which industry is this dataset used?
- This dataset is mainly used in the retail industry, particularly to improve the accuracy of product recognition on e-commerce platforms.
- What is special about this dataset?
- The uniqueness of this dataset lies in its focus on addressing occlusion issues in products, assisting in improving the performance of image recognition models in complex scenarios.
- Why do retailers need this dataset?
- Retailers need this dataset to enhance their image recognition systems, enabling them to accurately identify and classify occluded products sold on e-commerce platforms.
- How is the dataset constructed?
- The dataset is constructed with a large number of images of mountaineering shoes with varying degrees of occlusion to train and test the performance of detection models.
- How many images does the dataset contain?
- This information needs to be checked in the dataset provider's documentation, but datasets typically include thousands of images.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Mountain Shoe Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/19822a0320fc69499f6535aa2cb99df5},
urldate={2025-08-28},
keywords={Mountain Shoe Dataset,Image Occlusion Dataset,E-commerce Image Dataset,Product Recognition Dataset},
version={1.0}
}Using this in research? Please cite us.
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