xception-model
There are 90 repositories under xception-model topic.
kwotsin/TensorFlow-Xception
TensorFlow implementation of the Xception Model by François Chollet
XiuweiHe/EmotionClassifier
real-time face detection and emotion classification
mohammed-elkomy/two-stream-action-recognition
My re-implementation of two stream action recognition
KD1994/Body-Detection-With-BG-Removal
Web App to identify Humans and extract Human Bodies from the image without Background
neemiasbsilva/regression-in-CNNs-applied-to-plant-leaf-count
Regression in Convolutional Neural Network applied to Plant Leaf Count
yogesh-kamat/EduMeet
Online learning platform with automatic engagement recognition
radioactive11/HealthBridge
Bridging the gap between Patients and Doctors
CodeSigma91/Project_CapstoneKoios
Deep learning project using Keras that aims to detect (localize) thyroid lesions on ultrasound scans
deveshsangwan/Skin-lesions-classification
This repo includes classifier trained to distinct 7 type of skin lesions
gaoyuanliang/bank_card_detection
Tagging images of bank cards, such as credit card, debit card, etc, based on Xception pretrained deep feature extraction and my own trained classification layers
yanliang12/cheque_detection
Tagging images of bank cheques
kanavanand/Flipkart_GRID
Cropping the objects from an image
asmindev/similiar-image
Repositori untuk aplikasi Pencarian Kesamaan Gambar menggunakan Flask dan model CNN + Xception
ivallesp/Xception1d
Xception1d implementation for audio categorization
Logeshwaran-KS/Medicinal-Plants-Detection-Using-Deep-Learning
Identification of Medicinal Plants Using Xception
aws-samples/deep-visual-search-workshop
Workshop to create a visual search engine using Amazon SageMaker and Amazon OpenSearchService
aws-samples/deep-visual-search-workshop-infra
Workshop CDK Template to provision infra for the Deep Visual Search workshop
TheSaintIndiano/Plant-Seedlings-Classification
Determine a seedling Species from an image based on Kaggle Competition
hallowshaw/PredictiX
PredictiX is a comprehensive multi-disease prediction system built using the MERN stack and integrated with machine learning models. It accurately predicts lung cancer, breast cancer, diabetes, and heart disease, providing a seamless user experience for health diagnostics.
prabhat-123/Detecting-Covid-19-In-X-Ray-Image
This repository contains a Flask app that is capable of detecting Covid19 cases from xray images.
swapnita-pandey/Identification-of-Edited-Images
Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.
ismailazdad/dogs_classification_project
Computer vision project with Convolution from scratch Neural Network and transfer learning to determine dog breed
ismailazdad/vision_detection_benchmark
test models to proove state of art of object detection and classification in 3 differents dataset
nourhenehanana/deepfakes_detection_DL_ML
This repository encompasses deep learning and machine learning models designed for real-time deepfake detection and the prediction of image manipulation presence.
rekpero/Dog_Breed_Classification_using_Pretrained_Xception_Model
Dog Breed Classification with pre-trained xception model using feature extraction with convnet.
vivek2188/Cancer-Classification
A novel deep learning based technique for effective cancer detection.
benbogart/waste-classification
The project is an exploration of using deep neural networks for classification of waste images using the Azure's python sdk and the resources of the Microsoft Azure Machine Learning Studio.
derinben/Garbage-Classifier
A CNN using the architecture of the Xception model to build a multi-class garbage classifier.
friends168888/Car-Type-Recognition
Car-type Recognition with Deep Learning
gaoyuanliang/road_sign_tagging
Tagging the images which have the road signs
Jash-2000/Complex_Convolutional_Neural_Network_Architecture
I Implemented some of the custom complex Convolutional Neural Network architecture using tensorow.keras Functional API.
LouisVanLangendonck/UPC-AML-ArchitectureImageClassif
Image classification using both non-DL and DL approaches. Some interesting techniques are included like SIFT-feature extraction and multiple kernel learning (MLK).
MohamedSebaie/DeepFake-Detection-Using-Pytorch
This project Deepfakes can distort our perception of the truth and we need to develop a strategy to improve their detection. Deep Fakes are increasingly detrimental to privacy, social security, and democracy. We plan to achieve better accuracy in predicting real and fake videos.. https://pypi.org/project/Deep-Fake-Detection/
utkuatasoy/AI-Powered-Deepfake-Detection
The purpose of this project is to develop an AI-powered system capable of detecting deepfake facial data in biometric systems. By leveraging machine learning, specifically XceptionNet architecture, the project aims to classify facial data as real or fake with high accuracy and reliability.
Bhuvan588/Pneumonia-Detection-Using-Xception-Model
ML Web-App using Tensorflow and Django.
vedanshipathak/plant-model
Plant Disease Detection model-Using Xception Model yielding an accuracy of 99.61%