Smart City Enabler

By Samden Lepcha in Computer Vision Data Science Deep Learning

August 1, 2020

Medium code

About

It is a web-app to detect potholes in images and map the co-ordinates onto Google Maps. This project involved labeling images, training and deploying a custom object detection model using Mask RCNN.
Technologies used: Flask, Google JavaScript API, Python, HTML, CSS and TensorFlow.

Posted on:: August 1, 2020

Length:: 1 minute read, 44 words

Categories:: Computer Vision Data Science Deep Learning

Tags:: object-detection TensorFlow Flask

See Also:: SpeeQL; Fatigue Detection with Deep Learning; Train a Custom Object Detection Model using Mask RCNN