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README.md

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+---
+tags:
+- image classification
+- object recognition
+- object detection
+- image segmentation
+- fashion analysis
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-classification
+language:
+- en
+pretty_name: Down Jacket Occlusion Image Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Down Jacket Occlusion Image Dataset
+
+The retail e-commerce industry faces significant challenges in accurately identifying apparel in images, particularly when occlusions occur, such as bags or hats obscuring parts of the clothing. Current solutions often struggle with occluded objects, leading to misclassification and poor user experiences. This dataset aims to address these challenges by providing a diverse set of images featuring down jackets with various occlusions. Data collection involved capturing images in different retail environments under varying lighting conditions using high-resolution cameras. Quality control measures included multiple rounds of annotation, consistency checks among annotators, and expert reviews to ensure high accuracy. The dataset is organized in JPG format, with each image associated with detailed metadata regarding the type of occlusion and its unique identifier.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| obstruction_level | float | The proportion of the down jacket that is covered or occluded. |
+| color_dominance | string | The most prominent color of the down jacket in the image. |
+| texture_complexity | float | Describes the complexity of the surface texture of the down jacket. |
+| background_clarity | float | The clarity of the image background, which helps in the accuracy of the detection algorithm. |
+
+## 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/f5461298307e54f18ef826e54b2a78b5?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com