Classificationbox Toolkit - a .Net wrapper for Machine Box's Classificationbox service and a CLI program using it to train a model and sort image folders
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Updated
Jan 23, 2024 - C#
Classificationbox Toolkit - a .Net wrapper for Machine Box's Classificationbox service and a CLI program using it to train a model and sort image folders
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.
Obtaining meaningful results from the data set using the model trained with machine learning methods.
This repository contains my practice of Introduction to Computer Vision and Image Processing lab notebooks.
in this project, a model is presented to identify and recognize customers who will leave the cycle of existing customers.
this project includes the model to predict the number of requests for bike rental according to the dataset.
Moving train on railway line with CSS3
Detection and localization of Asian hornets with a CNN using PyTorch
implementation of using model.h5 on flask
#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)
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