There are 0 repository under resnet-34 topic.
Detect and recognize the faces from camera / 调用摄像头进行人脸识别,支持多张人脸同时识别
UNet architecture and Keras code with ResBlock for segmentation
Malaria Detection using Deep Learning
ResNet-34 implementation of the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles" in Keras
Research model for classification and feature extraction of dermatoscopic images
My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.
AnimalsClassificationModel is a Python app that classifies animals from images using a ResNet34 model. It features a Streamlit interface and utilizes Plotly for visualization.
Deep learning experiments to design a model to predict Parkinson's diseases with the images of Spiral/Wave test
Identification of road surfaces and 12 different classes like speed bumps, paved, unpaved, markings, water puddles, potholes, etc.
Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework
Deep learning based solution to automatically analyze medical images for malaria testing
[Open Source]. ARGAN - The improved version of AnimeGAN. Landscape photos/videos to anime
Multi-label classification of defective solar cells with PyTorch using a pre-trained residual neural network
ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.
Code showing how to port ResNet Pytorch weights to Tensorflow 2.0
First person action recognition: different approaches exploiting self supervised task and flow modulation
PyTorch implementation of ResNet34 from scratch for classifying birds
Segmentation model using UNET architecture with ResNet34 as encoder background, designed with PyTorch.
This repository presents an innovative approach to classifying blood groups using fingerprint images through deep learning techniques. The project explores state-of-the-art convolutional neural network (CNN) architectures, such as ResNet, VGG16, AlexNet, and LeNet, to analyze and predict blood groups accurately.
Implementation for Video Human Activity Recognition using OpenCV
This repository contains a PyTorch implementation for classifying the Oxford IIIT Pet Dataset using KNN and ResNet. The goal is to differentiate the results obtained using these two approaches.
resnet(-v2) tensorflow
Deep Learning Based Building Detection with Satellite Imagery
Comparison of ResNet and EfficientNet CNN Models for Plant Disease and Pest Detection
an AI bot to play our friend's game. Uses an Image classifier to figure out which key to press
Convolutional Neural Network written with PyTorch to diagnostic COVID19 based on recorded coughs.
This is a graduation project in Misr International University for detecting wild oat using ResNet 34.
Estimator for pitch, yaw, and roll values of head
Image Classification of Plants and Fruits using Fastai v1
This project compares two learning paradigm, namely transfer-learning and self-supervised learning in a classification task of three retina disorders CNV, DME and DUSEN in addition to the normal condition using an OCT B-scans
Raw Surface-EMG signal classification using DL models
Resnet-18、Resnet-34 and Resnet-50 etc. caffe train prototxt files.