Timestamp Detection and Recognition Algorithm

Check out the research paper in the repository for a complete explanation of the algorithm!

The Algorithm

Digit Recognition

YOLOv3 Timestamp Localization Performance

Detection	Images
Correct Detection	754
False Detection	5
No Detection	2
Partial Detection	17
Accuracy	96.9%

Digit Recognition Algorithm Performance

Detection	Images
Correct	774
Acceptable	177
Incorrect	58
Accuracy	94.1%

(Note: "Acceptable" is defined as cases where the detection is off by one or two digits, but the timestamp's date can still be understood by a human. These cases arise in part due to error carrying forward from YOLOv3 localization.)

Speed

Averages around 3 seconds for localization and detection combined.

Acknowledgements

Thank you to the Systems Analysis and Forecasting Office team at the Ministry of Transportation for the support throughout the project. Another thank you to PyLessons for the amazing YOLOv3 program and the tutorials.