Duplicate from shangzx/Underground-Parking-Lot-Empty-Slot-Detection-Dataset

.gitattributes

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+# Audio files - uncompressed
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+# Audio files - compressed
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66bf2a1d0d67753452212683bb628b74.json

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+{"file_name":"66bf2a1d0d67753452212683bb628b74.jpg","quality":"2268*1080","parking_space_id":"Unrecognized","is_vacant":"Yes","vehicle_presence":"No","confidence_level":"1.0","bounding_box":"Unrecognized","parking_layout":"Vertical Parking Layout","lighting_condition":"Indoor Artificial Lighting","camera_angle":"Eye Level"}

7d45e1e08af980be05ae6228341c1b19.json

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+{"file_name":"7d45e1e08af980be05ae6228341c1b19.jpg","quality":"1079*1397","parking_space_id":"277","is_vacant":"Yes","vehicle_presence":"No","confidence_level":"0.9","bounding_box":"(100, 50, 200, 150)","parking_layout":"Horizontal arrangement, multiple spaces","lighting_condition":"Indoor lighting","camera_angle":"Front view"}

README.md

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+---
+tags:
+- object detection
+- image recognition
+- computer vision
+- parking management
+- traffic monitoring
+- smart city
+license: cc-by-nc-sa-4.0
+task_categories:
+- object-detection
+language:
+- en
+pretty_name: Underground Parking Lot Empty Slot Detection Dataset
+size_categories:
+- 1B<n<10B
+---
+
+# Underground Parking Lot Empty Slot Detection Dataset
+
+With the acceleration of urbanization, the management of underground parking lots has become increasingly complex, with low space utilization and traffic congestion being common problems. Existing manual management and traditional surveillance cameras cannot monitor empty slots in real-time and efficiently, incurring high costs and with limited accuracy. This dataset aims to assist in identifying and detecting empty slots in underground parking lots using deep learning technology, improving parking management efficiency and user experience. Images are collected from high-definition cameras installed on the ceiling of parking lots, covering various weather and lighting conditions. Quality control involves multiple rounds of manual annotation and consistency checks to ensure the consistency and accuracy of each annotation. The annotation team consists of 12 experts with backgrounds in traffic management and computer vision. Preprocessing stages include data cleaning, denoising, and normalization, using the latest image enhancement techniques to augment the samples. Data is stored in JPG format, organized into folders classified by time and location.
+
+## Technical Specifications
+
+| Field | Type | Description |
+| :---  | :---  | :--- |
+| file_name | string | File name |
+| quality | string | Resolution |
+| parking_space_id | string | A unique identifier for the parking space. |
+| is_vacant | boolean | Indicates whether the parking space is vacant. |
+| vehicle_presence | boolean | Indicates the presence of a vehicle in the parking space. |
+| confidence_level | float | Confidence level of the vacant parking space detection, ranging from 0 to 1. |
+| bounding_box | string | Coordinates of the bounding box for the detected parking space area. |
+| parking_layout | string | Describes the layout of parking spaces within the parking lot. |
+| lighting_condition | string | Responsibly indicates the lighting condition, such as daytime or nighttime. |
+| camera_angle | string | Denotes the angle at which the camera is installed. |
+
+## 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/6a3f0662719aa2e731b45231865461f7?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com

cde886055408d427b3fd3cf570d98251.json

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+{"file_name":"cde886055408d427b3fd3cf570d98251.jpg","quality":"1080*1400","parking_space_id":"278","is_vacant":"yes","vehicle_presence":"no","confidence_level":"1","bounding_box":"(coordinates not available)","parking_layout":"multiple rows, neatly arranged","lighting_condition":"indoor lighting","camera_angle":"approximately 45-degree overlooking"}

ec7233bdace4c0587200b4819e052e73.json

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+{"file_name":"ec7233bdace4c0587200b4819e052e73.jpg","quality":"1439*1031","parking_space_id":"8F165, 8F166","is_vacant":"Yes","vehicle_presence":"No","confidence_level":"1","bounding_box":"[(x1, y1), (x2, y2), (x3, y3), (x4, y4)]","parking_layout":"Parallel","lighting_condition":"Indoor lighting","camera_angle":"Frontal overhead view"}