Boot Occlusion Image Dataset
V1.0Latest Update: | 2025-10-15 | Samples: | 10000 records |
Samples: | 10000 records | ||
File Size: | 1.5G | Format: | JPG/PNG/JSON |
Format: | JPG/PNG/JSON | ||
Data Domain: | Image | Holder: |  MOBIUSI INC |
Holder: | MOBIUSI INC | ||
Industry Scope: | e-commerce | image recognition | fashion analysis | ||
Applications: | object detection | image segmentation | classification | ||
Brief Introduction
The retail e-commerce industry faces significant challenges in accurately recognizing footwear, particularly when occlusion occurs due to mud or other environmental factors. Existing solutions often struggle with precision in such conditions, leading to misclassification and poor customer experiences. This dataset aims to address the technical problem of boot recognition under occluded conditions, fulfilling a vital business need for improved product recommendations and automated inventory management. The dataset is structured to include images captured under various occlusion scenarios, using high-quality cameras in diverse outdoor settings. Quality control measures include multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high reliability. The images are stored in JPG format, organized in folders based on occlusion levels, facilitating easy access and retrieval.
Sample Examples
| Image | File Name | Resolution | Boot Type | Degree Of Occlusion | Background Type | Boot Color | Brand Visibility | Presence Of Multiple Pairs Of Boots | Degree Of Wear | Heel Height | Material Type |
|---|---|---|---|---|---|---|---|---|---|---|---|
 | df56758f271c28fcb357212d32b79e30.jpg | 1064*1390 | cowboy boots | unobstructed | solid color background | light brown | false | true | new | mid heel | leather |
 | c40962ab9cbc3d16ef8295c07b04db9a.jpg | 1090*1834 | cowboy boots | not occluded | indoor | brown | false | true | new | medium | leather |
 | f2fe6ac470b00ae40e53a6511cbe017a.jpg | 1224*1632 | riding boots | not occluded | indoor | brown | false | false | new | medium | leather |
 | 40f27af923437104dadce100f7938eeb.jpg | 1629*1227 | knee-high boot | partially occluded | indoor | brown | false | true | new | low heel | leather |
Data Structure
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| boot_type | string | Identifies the type of boots, such as ankle boots, knee-high boots, or riding boots. |
| occlusion_level | string | The extent to which the boots are blocked in the image, such as completely occluded, partially occluded, or not occluded. |
| background_type | string | The type of background in the image, such as outdoor, indoor, or solid color background. |
| boot_color | string | The primary color of the boots, such as black, brown, or red. |
| brand_logo_visible | boolean | Indicates whether the brand logo is visible in the image, where true means visible and false means not visible. |
| multiple_boots_present | boolean | Whether the image contains multiple pairs of boots, true indicates yes, false indicates no. |
| damage_level | string | The degree of wear of the boots, such as new, new without flaws, slightly worn, noticeably worn. |
| heel_height | string | The heel height of the boots, for example, flat, medium, high. |
| material_type | string | The type of material of the boots, such as leather, synthetic materials, fabric. |
Compliance Statement
| Item | Content |
|---|---|
| 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 |
Can't find the data you need?
Post a request and let data providers reach out to you.