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.
Advancing vehicle plate recognition: Multitasking visual language models with VehiclePaliGemma,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.