Fatigue Detection with Deep Learning
By Samden Lepcha in Computer Vision Data Science Deep Learning
August 1, 2019
About
A web-app that detects the fatigue level of a person and provides them with suggestions based on the fatigue levels. This project involves labeling images, training and deploying an Inception V2 model with faster RCNN to crop out various facial cues and Efficient Net to classify the level of fatigue in a user. Build a novel dataset for the same. Technologies used: Flask, Python, HTML CSS and TensorFlow.
- Posted on:
- August 1, 2019
- Length:
- 1 minute read, 69 words
- Categories:
- Computer Vision Data Science Deep Learning
- Tags:
- object-detection TensorFlow Flask