Code and additional information to our paper "RACPIT: Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation"

A set of awesome content about Data Augmentation for Deep Learning and other stuff!!!

PolyGibbs: Bayesian Analysis of Binary & Polychotomous Response Data

Explore Norman PD incident data through a comprehensive web platform that extracts, augments, and visualizes data to uncover insights and trends.

Building and deploying a convolutional neural network (CNN) for accurately classifying landmarks from images using both custom CNNs and transfer learning techniques.

🔍 Enhance anomaly detection with AD-DINOv3, a framework adapting DINOv3 for zero-shot scenarios through advanced calibration techniques.

A Flask-based web application that detects and removes shadows from images using deep learning models. It provides a user-friendly interface and RESTful API for seamless image processing. With features like authentication, history tracking, and an admin dashboard, it ensures both usability and scalability.

Classification of images of Elder Futhark Runes into English alphabets in text.

🖼️ Run Segformer efficiently for rapid image and video segmentation with minimal setup. Streamline your workflow and enhance your projects quickly.

Self-Driving Car Nanodegree P2: Traffic Sign Classifier

High Throughput, Realistic Data-Augmentation Toolkit for Opitical Digit Detection on Fabrics in Outdoors Enviroment

Create a Convolutional Neural Network using TensorFlow.