imageclassification

Official PyTorch implementation of "Visualizing the Decision-making Process in Deep Neural Decision Forest", CVPR 2019 Workshops on Explainable AI

An AI-powered Image Classification Model that identifies objects in images. Supports multiple categories with high accuracy

Skin Lesion Analysis Towards Melanoma Detection

This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository

Classification of brain tumor in MR images using deep spatiospatial models.

This project related to road safety. We have to wear a helmet according to road safety rules when riding a motorcycle. Therefore, these rules are monitored by the police. Also, Due to the invention of high-quality cameras and the development of the state of art in AI, the surveillance system willing to use AI system to detect whether passengers …

Build a image classification python web app with Streamlit and PyTorch 🐱 🐶

Models for Computer Vision

GECCO is a lightweight image classifier based on single MLP and graph convolutional layers. We find that our model can achieve up to 16x better latency than other state-of-the-art models. The paper for our model can be found at https://arxiv.org/abs/2402.00564

Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.

Implementation of Distilling the Knowledge in a Neural Network https://arxiv.org/pdf/1503.02531.pdf

Image classification using satellite imagery.

For questions please contact: shohruh.maxmudov@mail.ru

Binary classifier of melanoma

Knowledge distillation pytorch lightning template for image classification task

This project is a final final project for the Pattern Recognition course in 2024 spring semester at National Yang Ming Chiao Tung University.

Analyze racket sports motions in real time using AI for pose tracking, action recognition, and biomechanics without cloud dependency.

This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.

This repository contains the implementation of an image classification system using a Support Vector Machine (SVM). The goal of the project is to classify images of cats and dogs stored in two folders (train and test1). The classifier is trained on a labeled dataset and used to predict the category of unseen images from the test folder.

Implementation of Min-Max CNN for Image Classification in Pytorch