Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images
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Updated
Apr 4, 2024 - Python
Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images
Sceneform Maintained is an ARCore Android SDK with Google Filament as 3D engine. This is the continuation of the archived Sceneform
Image classification benchmarking 🧑🏽⚖️ Hopefield Networks vs CNN across different augmentations 🧬
Doggo Breed Detector Chatbot
Random augmentation for machine learning experiments.
Deep Learning Course Project at ITI
This script is used to augment image data created using LabelMe-MIT.
Classification of images between two classes cat and dog using CNN with image augmentation as available data for training is is limited
Applied Machine Learning project for Data Science master degree
Using over 5,800 images of chest radiographs, I utilized machine learning and neural networks to predict when pneumonia is present. The best model was able to predict over 80% accuracy on the test data with a false negative rate that was less than 3%.
Data Augmentation with PyTorch, Tensorflow, Imgaug and Albumentations. It also involves bounding box augmentation.
Links and description to ARCore samples written in Kotlin
An Android Application showcasing the use of Augmented Reality in the Furniture and Education Industry (-ARCore-)
COVID-CT19-Challenge
There are methods to augment images and increase number of image datas in this notebook.
An Android Application developed using Unity 3D and Google ARCore to help visualize 2D images using 3D objects and animations
ARCore addon for openframeworks (Point cloud, Augmented Images, Hit testing, Planes)
My AR experiments collections
Augment maps of cities with images from monuments
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