Keshav Nayak's Projects
Each chapter of this (mini-)book guides you in programming one important software component for automated driving.
Course Project - Enterprise Data Science 2022
In this project, I used Python and Keras to classify traffic signs. Dataset used: German Traffic Sign Dataset. This dataset has more than 56,249 images of 43 classes. The model is based on LeNet architecture which has achieved Train_accuracy : 97.3% , Validation_accuracy : 99.2%, Test_accuracy : 96.5%
Config files for my GitHub profile.
Unofficial implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
Content Material for the lecture Covid-19 data analysis
A PowerBI Dashboard that can provide real-time sales insights that will provide insights to increase revenue