This dataset contains 100 high-resolution images of vehicle license plates along with their corresponding text annotations (labels). Designed specifically for license plate recognition (LPR) and Optical Character Recognition (OCR) tasks, it serves as a reliable benchmark for evaluating the performance of machine learning models.
Key Features of the Dataset:
- Diverse Image Collection: Includes a variety of license plate formats, fonts, and conditions (e.g., different angles, lighting, and clarity).
- Accurate Annotations: Labels were meticulously generated using the EasyOCR library, ensuring precision and consistency.
- Ideal for Model Benchmarking: Perfect for testing the accuracy, speed, and reliability of your OCR or license plate recognition algorithms.
- Versatile Use Cases: Suitable for tasks like automatic vehicle identification, toll management systems, and smart traffic monitoring.
This dataset is sourced from Kaggle.