Skip to content
Face recognition research has seen tremendous growth over the past couple of decades. starting from the algorithms that perform the recogntion , the face recognition environment gives high accuracy with unconstrained face datasets. The upcoming algorithms to recognise the faces improves the performance. In this paper, we study about the kinship …
Branch: master
Clone or download
Latest commit 9608a90 Jun 19, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
test Delete face00000.jpg Jun 19, 2019
README.md Update README.md Jun 19, 2019
justanother.py Add files via upload Jun 19, 2019
lib Update lib Jun 19, 2019
sub_detect_kinship (1).csv Add files via upload Jun 17, 2019
train_relationships.csv Add files via upload Jun 19, 2019

README.md

DL

Deep Learning Mentor name : Ms.Surbhi Team Members : Makkena Alekhya , MD Shakeeb Ashraf , Satuluri Abhiram , SS Gokulan

To run the code first download the dataset then change the directories accoring to the dataset path and change the necessary issues.And then change the number of epochs to get the required accuracy.

the data set can be downloded through https://www.kaggle.com/c/recognizing-faces-in-the-wild/data

You can’t perform that action at this time.