Social Emotion Analysis | SEA

This uses machine learning to recognize faces to mark attendance.

Image classification for dogs and cats with VGG-16 using PyTorch. Model accuracy: 99.6%. Classification API included

Uilizing Tensorflow and openCV frameworks, we have created a Face Mask Detection Software Script.

For MLSA Workshop

Obtaining meaningful results from the data set using the model trained with machine learning methods.

#AI Tensorflow, Machine Learning and Building a data model to recognize object detection with Keras back-end. This a research work. This library is designed for everyone to learn fast.

Two-stream cnn models for action recognition on the UCF-101 dataset

Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

Classify UCF101 videos using one frame at a time with a CNN(InceptionV3)