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README.md

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+**Driver Drowsiness Detection & Monitoring Dataset (Synthetic)**
+
+Synthetic data for testing Driver Monitoring Systems. Compliant with Euro NCAP & GSR safety standards.
+
+**Description:** 
+
+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.
+This is a free sample dataset (150+ images) generated by Simuletic.
+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.
+Download the full 10k+ images dataset: Visit https://simuletic.com
+
+**What is in this sample?**
+
+Perfect Labels: No guessing. The data contains exact values for where the head is turning and where the eyes are looking.
+Safety Standard Ready: The data is labeled to help you meet Euro NCAP and GSR (General Safety Regulation) rules.
+Microsleep Detection: We include the "PERCLOS" score, which measures exactly how drowsy the driver is.
+Simple Format: You get standard .jpg images and easy-to-read .json files with the data.
+
+**What you get:** 
+
+/images: The raw frames of the driver.
+/labels: The data files (JSON) telling you head pose, eye state, and gaze zone.
+
+**Need more data?** 
+This sample is just for testing. If you need to train a full production model, our Enterprise Dataset at simuletic.com includes:
+50,000+ Images
+Night Mode (Infrared/NIR simulation)
+Edge Cases: Drivers wearing sunglasses, masks, and hats.