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README.md

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+---
+tags:
+- object detection
+- image segmentation
+- fashion detection
+- product visibility
+- image recognition
+license: cc-by-nc-sa-4.0
+task_categories:
+- object-detection
+language:
+- en
+pretty_name: Athletic Pants Occlusion Image Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Athletic Pants Occlusion Image Dataset
+
+The retail e-commerce industry faces challenges related to product visibility, particularly with items like athletic pants that may be occluded by other objects. Current datasets often lack comprehensive representation of occlusions, leading to errors in automated systems. This dataset aims to address these issues by providing a rich collection of images featuring various occlusions, specifically focusing on scenarios like blurred pant hems and backpacks covering designs. The dataset was created by capturing images in controlled environments using high-resolution cameras, ensuring a diverse range of occlusion scenarios. Quality control measures included multi-round annotations and expert reviews to maintain high accuracy and consistency. Data is stored in JPG format, organized by categories of occlusion types.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| occlusion_percentage | float | The proportion of track pants covered by other objects. |
+| color | string | The main color of the track pants. |
+| pattern | string | Whether there are patterns on the track pants, such as stripes, checks, etc. |
+| orientation | string | The orientation of the track pants in the image, such as front, back, side. |
+| fabric_material | string | The fabric material of the track pants, such as cotton, polyester. |
+| brand_logo_visible | boolean | Whether the brand logo is visible in the image |
+| wrinkle_level | string | The degree of wrinkles on the surface of the sweatpants, such as no wrinkles, slight wrinkles, severe wrinkles |
+| lighting_condition | string | The lighting conditions when the image was taken, such as natural light, bright, dim |
+| background_clarity | string | The clarity of the image background, such as clear, blurry |
+
+## Compliance Statement
+
+<table>
+  <tr>
+    <td>Authorization Type</td>
+    <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
+  </tr>
+  <tr>
+    <td>Commercial Use</td>
+    <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
+  </tr>
+  <tr>
+    <td>Privacy and Anonymization</td>
+    <td>No PII, no real company names, simulated scenarios follow industry standards</td>
+  </tr>
+  <tr>
+    <td>Compliance System</td>
+    <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
+  </tr>
+</table>
+
+## Source & Contact
+
+If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/8f1d0f3fa19debf238c5f66982bce57d?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com