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NVIDIA
NVIDIA
LPDNet
Model
NVIDIA
NVIDIA
LPDNet

Object Detection network to detect license plates in an image of a car.

This model is backed by NVIDIA's Plus Plus (++) Promise
to learn more about the quality of the datasets used to train this model.
FieldResponse
Intended Application(s) & Domain(s):Detecting vehicle license plates for vehicle identification and traffic management
Model Type:Object Detection
Intended Users:Developers working in smart city and transportation applications.
Output:Bounding Box(es), Category Label(s), Confidence Score(s)
Describe how the model works:Detects and one or more license plates within an image and returns respective bounding box coordinates, labels, and confidence scores.
Technical Limitations:Model should not be used in low-light, low contrast lighting conditions, with warped or motion-induced images, or very small and very large objects. Model is not as accurate with monochrome or infrared images. Model accuracy may vary with occlusion or truncation.
Verified to have met prescribed NVIDIA standards:Yes
Performance Metrics:Precision
Potential Known Risks:This model may fail to detect vehicle license plates.
Licensing:https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/