Crocodile Shoe Occlusion Image Dataset
#Object Detection #Image Classification #Product Recognition #Visual Search #Augmented Reality
- 5000 records
- 1.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-08-24
AI Analysis & Value Prop
The current retail e-commerce industry faces significant challenges in accurately recognizing products when they are partially occluded. Traditional image recognition solutions often struggle with occlusions caused by clothing or other objects, leading to decreased accuracy in product identification. This dataset aims to address the specific technical problem of recognizing crocodile shoes under various occlusion scenarios, fulfilling the business need for improved visual search capabilities and inventory management. The dataset consists of images captured in diverse environments, including retail stores and outdoor settings, using high-resolution cameras. Quality control measures include multiple rounds of annotation, consistency checks, and expert reviews to ensure data integrity. The images are stored in JPG format and organized into labeled folders for easy access.
Dataset Insights
Sample Examples
335e8210**.png|1139*1500|1.47 MB
bdbc231a**.png|2776*1500|1.73 MB
d9f56d68**.png|1361*1500|2.06 MB
5e954a7a**.png|1070*1500|1.41 MB
1e803e61**.png|1158*1500|2.28 MB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| occlusion_level | string | The degree of occlusion of the clogs in the image, such as unobstructed, partially occluded, or fully occluded. |
| object_color | string | The primary color classification of the clogs. |
| background_complexity | string | The complexity of the image background, such as simple, moderate, or complex. |
| lighting_condition | string | Lighting conditions during image capture, such as natural light, indoor light, or flash. |
| image_blurriness | string | The clarity or blurriness level of the image. |
| image_orientation | string | The shooting direction or rotation angle of the image, such as 0 degrees, 90 degrees, 180 degrees, 270 degrees. |
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 Holes Shoes Occlusion Detection Image Dataset?
- The Holes Shoes Occlusion Detection Image Dataset is a retail-focused object detection dataset primarily used to identify and solve occlusion issues of products on e-commerce platforms.
- What applications is the Holes Shoes Occlusion Detection Image Dataset suitable for?
- This dataset is suitable for applications such as e-commerce websites requiring occlusion detection, retail inventory management, and visual search engines.
- What are the advantages of using the Holes Shoes Occlusion Detection Image Dataset?
- This dataset offers high-quality annotated images that help improve product display accuracy, reduce purchase errors, and enhance user experience.
- What does the Holes Shoes Occlusion Detection Image Dataset primarily contain?
- The dataset primarily contains images of various types of crocs under different occlusion conditions, accompanied by annotated information about product occlusions.
- How can the Holes Shoes Occlusion Detection Image Dataset improve product recognition accuracy?
- By training models with this dataset, they can better recognize occlusion scenarios, thereby improving recognition accuracy and image analysis capabilities, and enhancing product display effectiveness.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Crocodile Shoe Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/6cb69676041078ff1fd4cb80d35102e1},
urldate={2025-08-28},
keywords={Crocodile Shoe Dataset,Occlusion Recognition Dataset,Image Dataset for E-commerce},
version={1.0}
}Using this in research? Please cite us.
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