It uses state-of-the-art object detection algorithm (YOLO) to identify regulatory and warning traffic signs. The dataset is a collection of images with different classes found across the internet. We used browser extension to gather images from several image hosting sites and also utilized road trip videos to gather field data.

• Baltazar, Zeus James
• Bantuas, Junaid
• Basbacio, Martin Lorenzo
• Marquez, Ian Gabriel

• LabelImg by Tzutalin
• OpenCV
• Numpy
• Darknet by AlexeyAB

• stop (0.0%)
• intersection (0.0%)
• no u turn (0.0%)
• no left turn (0.0%)
• no right turn (0.0%)
• speed limit (0.0%)
• pedestrian (0.0%)
• warning (0.0%)
• no parking (0.0%)
• one way (0.0%)
• no entry (0.0%)

The training was performed with the help of google colaboratory's free GPU and darknet neural network framework.