Pedestrian Detection is an application of computer vision which is close to object detection, which has a wide range of applications. It can be used in surveillance monitoring, autonomous vehicles, face recognition, etc. This project is based on pedestrian detection that detects pedestrians and cyclists equally. The detector used must have high accuracy and precision. The model used is Faster R-CNN, which has more accurate than YOLOv3 but is comparatively slower.