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README.md

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+---
+tags:
+- image segmentation
+- object detection
+- classification
+- object recognition
+- image classification
+- e-commerce
+- computer vision
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-segmentation
+language:
+- en
+pretty_name: Backpack Occlusion Image Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Backpack Occlusion Image Dataset
+
+In the current retail e-commerce sector, visual recognition systems face significant challenges in accurately identifying products due to occlusions, particularly in images where straps obscure logos or buckles. Existing datasets often lack diversity in occluded images, making them insufficient for training robust models. This dataset aims to address these limitations by providing a specialized collection of images featuring backpacks with varying levels of occlusion caused by shoulder straps. The dataset is collected using high-quality cameras in diverse environments, ensuring a variety of angles and lighting conditions. Quality control measures include multi-round annotations and expert reviews to ensure consistency and accuracy. The images are stored in JPG format, organized by occlusion level and category for easy access.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| backpack_presence | boolean | Whether a backpack is present in the image. |
+| backpack_position | string | The approximate position where the backpack appears in the image, such as 'top left', 'bottom right', etc. |
+| occlusion_level | string | The extent to which the backpack is obstructed in the image, such as 'partially obstructed' or 'fully obstructed'. |
+| background_clutter | string | The level of complexity of the background, such as 'simple', 'medium', or 'complex'. |
+
+## 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/4f508c98db77a01956903dfa6e124311?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com