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license: cc-by-4.0 |
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**Driver Drowsiness Detection & Monitoring Dataset (Synthetic)** |
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Synthetic data for testing Driver Monitoring Systems. Compliant with Euro NCAP & GSR safety standards. |
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**Description:** |
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Building AI that detects if a driver is tired or distracted is difficult. Real-world data is messy, and humans often make mistakes when labeling exactly how "closed" an eye is. |
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This is a free sample dataset (150+ images) generated by Simuletic. |
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We created this to show how synthetic data can solve the problem of accuracy. Since the images are computer-generated, we know exactly where the driver is looking and how open their eyes are—down to the pixel. |
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Download the full 10k+ images dataset: Visit https://simuletic.com |
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**What is in this sample?** |
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Perfect Labels: No guessing. The data contains exact values for where the head is turning and where the eyes are looking. |
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Safety Standard Ready: The data is labeled to help you meet Euro NCAP and GSR (General Safety Regulation) rules. |
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Microsleep Detection: We include the "PERCLOS" score, which measures exactly how drowsy the driver is. |
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Simple Format: You get standard .jpg images and easy-to-read .json files with the data. |
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**What you get:** |
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/images: The raw frames of the driver. |
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/labels: The data files (JSON) telling you head pose, eye state, and gaze zone. |
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**Need more data?** |
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This sample is just for testing. If you need to train a full production model, our Enterprise Dataset at simuletic.com includes: |
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50,000+ Images |
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Night Mode (Infrared/NIR simulation) |
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Edge Cases: Drivers wearing sunglasses, masks, and hats. |
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