Five VLMs are benchmarked on 88 Nigerian license plate images; Gemini and Qwen achieve lower character error rates than GPT-4o, Claude, and Llama in a zero-shot setting.
Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high -precision license plate detection and recognition,
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Evaluating Vision-Language Models as a Zero-Shot Learning Alternative to You Only Look Once and Optical Character Recognition for Nigerian License Plate Recognition
Five VLMs are benchmarked on 88 Nigerian license plate images; Gemini and Qwen achieve lower character error rates than GPT-4o, Claude, and Llama in a zero-shot setting.