matthewearl/deep-anpr

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1856 stars · 685 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An experimental Python project that uses neural networks (TensorFlow) to build an automatic number plate recognition (ANPR) system. It includes scripts for generating synthetic training data, training a CNN, and detecting license plates in images.

Use cases

• recognize license plates in images with a neural network
• train a CNN for number plate detection
• generate synthetic UK number plate training images
• learn how ANPR systems work end to end
• detect number plates in a photo from the command line

When to choose

• you want to learn or tinker with how CNN-based ANPR works
• you read the accompanying blog post and want a code companion
• you need a starting point to build a custom plate recognition system

When to avoid

• you need a production-ready or accurate number plate recognition system
• you want a maintained project with active development
• you cannot spare significant GPU time and disk space for training data

Facets

library · maturity experimental

machine-learning deep-learning computer-vision ocr image-processing computer-vision machine-learning deep-learning image-processing python anpr license-plate-recognition neural-networks tensorflow opencv synthetic-data linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="matthewearl/deep-anpr")