Model Development for Automatic Parking Sign Recognition – 90% Accuracy Including Recognizing Unstandardized Signs
The Client delivers innovations for the automotive & transportation industries, such as real-time parking and traffic information and solutions for AV’s safety testing and deployment.
Building a web service with ML pipeline to automate data processing for parking sign recognition.
The algorithm identifies 85%+ of signs on the streets in the city, 90%+ identified correctly.
All the ML and data processing algorithms were implemented in a single web app with a detailed description of the model and project documentation.
The Client received a solution that automated parking sign detection and reduced the workload.