Tight Pants Occlusion Image Dataset
#object detection #image segmentation #classification #fashion detection #image recognition #occlusion handling
- 15000 records
- 3.2G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-16
AI Analysis & Value Prop
The retail e-commerce industry faces significant challenges in accurately detecting clothing items due to occlusions caused by overlapping garments, leading to potential misclassifications and poor customer experience. Existing datasets often lack sufficient examples of occluded items, limiting the effectiveness of machine learning models. This dataset aims to address these shortcomings by providing a comprehensive collection of images that showcase tight pants being obstructed by various clothing items, facilitating better training and evaluation of object detection systems. The data is collected using high-resolution cameras in diverse retail environments, ensuring a wide variety of poses and lighting conditions. Quality control measures include multi-round annotations and expert reviews to ensure the highest level of annotation accuracy. The dataset is organized in a standard JPG format, with images stored in structured directories for easy access.
Dataset Insights
Sample Examples
f79423a8**.png|215*570|93.01 KB
58321951**.png|293*472|253.61 KB
b9e889bb**.png|411*298|156.11 KB
c3a5f6b7**.png|321*431|159.19 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| object_type | string | The categories of detectable objects in the image, such as trousers, skirts, etc. |
| occlusion_level | string | The degree to which the object is occluded. Possible values are: no occlusion, partial occlusion, significant occlusion. |
| object_position | string | The approximate location of objects in the image, such as top-left corner, bottom-right corner, etc. |
| background_clutter | string | The complexity of the background. Possible values are: clean, average, cluttered. |
| color_dominance | string | The most prominent color in the object, such as red, blue, etc. |
| lighting_condition | string | The lighting conditions during image capture, such as bright, dim, backlit. |
| texture_complexity | string | The complexity of the texture on the object surface. Possible values are: simple, moderate, complex. |
| brand_visibility | string | The visibility of the product brand logo, with possible values: clearly visible, blurry, invisible. |
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 Tights Obstruction Detection Image Dataset?
- The Tights Obstruction Detection Image Dataset is an image dataset used for studying and solving product recognition issues in retail e-commerce caused by obstructions.
- Which fields can this dataset be applied to?
- This dataset is applicable to the retail industry, particularly for product recognition and display optimization on e-commerce platforms.
- What is the main use of this dataset?
- The main use of the Tights Obstruction Detection Image Dataset is to develop and optimize object detection algorithms for products, improving recognition accuracy.
- How can this dataset be used to improve product recognition accuracy in projects?
- By using this dataset to train object detection models, it can help improve the models' recognition accuracy and robustness when dealing with obstructed products.
- Why is an object detection dataset important in e-commerce?
- An object detection dataset helps in developing better image recognition systems, improving the efficiency of automatic product classification, listing, and searching, which is valuable for the operation of e-commerce platforms.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Tight Pants Occlusion Image Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/dfcfbf0ac23ac7354dee79d35cc1a765},
urldate={2025-08-28},
keywords={tight pants dataset,occlusion detection,fashion image dataset},
version={1.0}
}Using this in research? Please cite us.
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