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README.md

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+---
+tags:
+- Image classification
+- object detection
+- object recognition
+- Retail e-commerce
+- amusement park management
+- image recognition
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-classification
+language:
+- en
+pretty_name: Amusement Park Game Facility Recognition Image Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Amusement Park Game Facility Recognition Image Dataset
+
+In the retail e-commerce sector, as consumer demand for amusement park facilities increases, merchants face challenges in quickly identifying and managing various facilities. Existing image recognition technologies still lack in accuracy and speed, especially in scenarios with diverse facility combinations. This dataset aims to enhance the precision and efficiency of amusement park facility recognition, satisfying the business needs of online platforms for personalized recommendations and inventory management.The dataset was captured using high-resolution cameras in real amusement park environments, ensuring it includes different time periods and various lighting conditions during the collection process. It has undergone multiple rounds of expert annotation and consistency checks to ensure precise labeling, reviewed by a team with a computer vision background. The data preprocessing includes denoising, color correction, and geometric correction, and it is stored in JPG format, with a clear structure that is easy to access.The core advantage of this dataset lies in its high annotation precision and consistency, reaching over 95%, greatly enhancing model training efficacy. With innovative augmentation techniques, the model can better generalize to unseen data. In practical applications, it can effectively improve the accuracy of amusement facility recognition by more than 20%. Compared to similar datasets, it offers a richer variety of facilities and scene variability, making it particularly suitable for promotion on various e-commerce platforms. The dataset can be extended to more industry application scenarios and possesses strong versatility.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| facility_type | string | The specific type of amusement park facility identified, such as carousel, bumper cars, etc. |
+| facility_color | string | The main color of the identified amusement park facility. |
+| material_type | string | The main type of material of the amusement park facility, such as metal, plastic, etc. |
+| age_range | string | The age range suitable for users of the facility, such as children, teenagers, etc. |
+| safety_features | string | The main safety features of the facility, such as seat belts, guard rails, etc. |
+| capacity | int | The maximum number of people the facility can accommodate. |
+| manufacturer | string | The manufacturer of the facility. |
+| usage_status | string | The current usage status of the facility, such as operational, under maintenance, etc. |
+
+## 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/4db03e28bc0104fd1058c0a3c342f902?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com