Nomeroff Russian License Plates

Dataset Overview:

• A collection of JPG images with varying resolutions, capturing license plates from multiple angles (frontal, side, rear) and distances.
• Environments include daytime and nighttime scenes, varying weather conditions (sunny, rainy, snowy), and different lighting (natural and artificial).

CSV Columns:

1. file_name: The name of the image file (str, unique values).
2. plate_number: The alphanumeric license plate number present in the image (str).
3. vehicle_type: The type of vehicle (e.g., sedan, SUV, truck, etc.) – this allows for classification beyond just license plate recognition (str).
4. angle_of_view: The angle at which the image was captured (e.g., frontal, side, rear) – this provides additional context for training models to handle various perspectives (str).
5. weather_condition: The weather conditions during image capture (e.g., sunny, rainy, snowy, etc.), offering insights into how weather impacts recognition performance (str).
6. time_of_day: Whether the image was captured during the day, evening, or night, useful for models dealing with varying lighting conditions (str).
7. occlusion_level: A numeric rating (0-3) representing the level of obstruction on the license plate (e.g., due to dirt, damage, or angle), helping models adapt to real-world imperfections (int).

Applications:

• License Plate Recognition (LPR) Systems.
• Vehicle Tracking and Identification.
• Traffic Monitoring and Enforcement.
• Smart City Solutions and Automated Toll Systems.