GitHub topics: xception-model

Repositories

Yashmaini30/Tomato_Leaf_Disease_Detection

Hyperparameter-tuned Xception model for plant disease detection with 97.23% accuracy – published at IEEE ICAIQSA 2024

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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.

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Tesis-ORION/emotion_detector

ROS 2-based real-time emotion recognition with Coral Edge TPU, using a quantized Mini-XCEPTION model trained on FER-2013.

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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.

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Razvan48/Proiect-Deep-Learning-DL

Proiect Deep Learning (DL) Anul 3, Semestrul 2, Facultatea de Matematica si Informatica, Universitatea din Bucuresti

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Rainaa111/Plant_disease_detection_and_classification

A project regarding the detection and classification of various diseases affecting plants and crops grown substantially in India, using machine learning and opencv.

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kwotsin/TensorFlow-Xception

TensorFlow implementation of the Xception Model by François Chollet

Language: Python - Size: 213 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 209 - Forks: 90

arpanpramanik2003/sign-language-recognition

This project is a real-time ASL (American Sign Language) gesture classifier built using TensorFlow and Xception. It supports both webcam-based prediction with OpenCV and image upload via a Streamlit web interface. The model can classify 29 hand gestures including alphabets, space, del, and nothing, and displays confidence scores for each prediction

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vedanshipathak/plant-model

Plant Disease Detection model-Using Xception Model yielding an accuracy of 99.61%

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deveshsangwan/Skin-lesions-classification

This repo includes classifier trained to distinct 7 type of skin lesions

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Logeshwaran-KS/Medicinal-Plants-Detection-Using-Deep-Learning

Identification of Medicinal Plants Using Xception

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rahatmoktadir03/tumor-scope

Brain Tumor Classification project leveraging neural networks to classify MRI scans with high accuracy. Features include a Streamlit-based app for predictions, Gemini 1.5 Flash for interpretability, and advanced visualizations. It also includes model comparison, multimodal LLM integration, and real-time interactions.

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tan-li-yan/endoscopy-model-react

(ongoing) React front-end for endoscopists to upload single or batch images for prediction and Grad-CAM visualization. Includes notebooks for model training using the Kvasir dataset.

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Jesus-David-Silva-Rangel-19/Alzheimer_Classification_Xception_99.5

This repository contains an Alzheimer's classification model based on the Xception architecture. We have achieved 99.5% accuracy in the early detection of this disease. The main objective is to provide a useful tool for the investigation and diagnosis of Alzheimer's.

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Rupa-Veerala/Context-Based-Image-Captioning

Context-Based Image Captioning

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AmirrHussain/Pneumonia-Detection-from-Chest-X-Ray-Images

This project implements a deep learning model to detect pneumonia from chest X-ray images using transfer learning with the Xception architecture. The model achieves high accuracy in distinguishing between normal chest X-rays and those showing signs of pneumonia.

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SoumikSen10/PredictiX

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mafda/dog_breed_classifier

Dog breed classifier - Udacity Deep Learning Nanodegree

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aws-samples/deep-visual-search-workshop

Workshop to create a visual search engine using Amazon SageMaker and Amazon OpenSearchService

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aws-samples/deep-visual-search-workshop-infra

Workshop CDK Template to provision infra for the Deep Visual Search workshop

Language: Python - Size: 191 MB - Last synced at: 24 days ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

Bhuvan588/Pneumonia-Detection-Using-Xception-Model

ML Web-App using Tensorflow and Django.

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cizodevahm/Image-Caption-Generator

This project is an image caption generator that uses a deep learning model to generate captions for images. The model is trained using the Flickr8k dataset and leverages a pre-trained Xception model for feature extraction and an LSTM network for sequence processing.

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adityakapole/Pneumonia-CNN Fork of Tejas911/Pneumonia-CNN

This project aims to classify lung images to determine whether a person is suffering from pneumonia or not. The classification model is built using deep learning techniques[Xception Pre-trained model], and a Gradio interface is provided for easy interaction and testing.

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swapnita-pandey/Identification-of-Edited-Images

Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.

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Adityathere/Flower-Classification-using-CNN

Classification of flowers using Convolutional Neural Network

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DhairyaC/Cutlery-Image-Classification

Use transfer learning for large image classification

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anvit1618/TeToAI_Interviewer

Wanna know what's going on through the minds of the applied candidates. Just use TeToAi to assess them and get a statistical output for the same explaing every bit about the candidate.

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KD1994/Body-Detection-With-BG-Removal

Web App to identify Humans and extract Human Bodies from the image without Background

Language: Python - Size: 2.77 MB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 20 - Forks: 4

Aalaa4444/Garbage_Classification

CNN model to classify garbage

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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/

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Vibhuarvind/Depression-Detect

Depression Detect is a web app which enables clinicians to use sensing technologies with a focus on acoustic characteristics and facial landmarks to detect depression.

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neemiasbsilva/regression-in-CNNs-applied-to-plant-leaf-count

Regression in Convolutional Neural Network applied to Plant Leaf Count

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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.

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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

Language: Python - Size: 1.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 3

gaoyuanliang/road_sign_tagging

Tagging the images which have the road signs

Language: Python - Size: 33.2 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

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.

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ChetanG696/Alzheimers-Detection

By using deep learning models like Xception to analyze medical imaging data, we may be able to identify early signs of Alzheimer's disease before symptoms become severe. This can help healthcare providers to provide early treatment and support for patients and their families, ultimately leading to better outcomes for all involved.

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Anamika-Ratna/Blood_Cancer-Acute_Lymphocytic_Leukemia_Detection

Explore my comprehensive collection of AI models for blood cancer detection. Leveraging deep learning and medical imaging, these models aim to revolutionize early diagnosis and treatment, making a significant impact on the battle against blood cancers. #AI #HealthcareInnovation

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radioactive11/HealthBridge

Bridging the gap between Patients and Doctors

Language: JavaScript - Size: 41.5 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 17 - Forks: 11

XiuweiHe/EmotionClassifier

real-time face detection and emotion classification

Language: Python - Size: 24.1 MB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 62 - Forks: 30

yogesh-kamat/EduMeet

Online learning platform with automatic engagement recognition

Language: Python - Size: 789 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 17 - Forks: 5

Fibration/dog-project Fork of udacity/dog-project

My extension of the dog project at the Udacity AI Nanodegree

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ivallesp/Xception1d

Xception1d implementation for audio categorization

Language: Python - Size: 20.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 4

yanliang12/cheque_detection

Tagging images of bank cheques

Language: Python - Size: 5.62 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 5

ayberkgezer/Minerals-Classification

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Siddhantmest/Facial_Emotion_Recognition

Detecting the emotion from static facial expressions

Language: Python - Size: 195 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

asmindev/similiar-image

Repositori untuk aplikasi Pencarian Kesamaan Gambar menggunakan Flask dan model CNN + Xception

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Hassan-Elseoudy/MRNet_Classification

MRNet classification using pre-trained model (Xception) from Keras.

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ptsourav21/SkinDiseaseClassification

A pretrained model Xception to classify skin disease with high accuracy which is 99.33%. This code is used in research work which is published in one of the IEEE conferences.

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ismailazdad/vision_detection_benchmark

test models to proove state of art of object detection and classification in 3 differents dataset

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ismailazdad/dogs_classification_project

Computer vision project with Convolution from scratch Neural Network and transfer learning to determine dog breed

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mohitkothari-dev/TransferLearning

This repo consists a Python Notebook file where I have performed transfer learning using Keras Xception Transformer.

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kanavanand/Flipkart_GRID

Cropping the objects from an image

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mohammed-elkomy/two-stream-action-recognition

My re-implementation of two stream action recognition

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rekpero/Dog_Breed_Classification_using_Pretrained_Xception_Model 📦

Dog Breed Classification with pre-trained xception model using feature extraction with convnet.

Language: Python - Size: 2.74 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

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).

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bsenst/capstone1-skin-lesion-classifier

Experimental neural network to classify skin lesions from the HAM10k collection.

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aghdamamir/Pneumonia-Classification

Classification of Pneumonia Cases using Xception Deep Model and Transfer Learning in Chest X-ray Images

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ambideXtrous9/PyTorch-Models

Transfer Learning models in PyTorch

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Jash-2000/Complex_Convolutional_Neural_Network_Architecture

I Implemented some of the custom complex Convolutional Neural Network architecture using tensorow.keras Functional API.

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MarcosVeniciu/Xception_CNN_Dogs_vs_Cats

Utilização da arquitetura de rede neural convolucional Xception para classificação de imagens de cães e gatos, a partir do dataset do keggle.

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gorjul/multi-output-xception

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SurajKumarMondal/Classifying-buildings-Post-Hurricane-using-Satellite-Imagery

We have tried to classify buildings between damaged and not damaged buildings using the satellite imagery data

Language: Python - Size: 58.3 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

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.

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rrfsantos/Projeto-Redes-Neurais-OCT-Images

BI Master - Automated methods to detect and classify human diseases from medical images. Convolutional Neural Network, Data Augmentation, Transfer Learning, Tensorflow, Keras, Xception, ImageNet, StratifiedKFold.

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rimshasaeed/Clothing-Classification

Classification of clothing items in e-commerce fashion industry using Xception model

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calde97/Deep_Learning_Challenge

This is the repo for the challenges of the "Artificial neural networks and Deep Learning" course at PoliMi 2020/2021

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thisishardik/skin-tumor-detection

Computer aided Skin Tumor Detection for analysis and prediction of malignant skin lesions of the human body. The modelling is performed on the HAM10000 dataset and the dermatoscopic images of common pigmented skin lesions contained in the ISIC-SIIM archive.

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vivek2188/Cancer-Classification

A novel deep learning based technique for effective cancer detection.

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Utkarsh-Technical/ImageCaptioning

This Deep Learning model which generates descriptions of an image with the help of the robust combination of the Xception model and LSTM. We have implemented a deep neural network recurrent architecture that automatically produces a short description of images.

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Utkarsh-Technical/C19Watcher

It's an AI model that helps in maintaining social distancing and check that you are wearing a mask or not.

Language: Dart - Size: 97.2 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

BupyeongHealer/khd2019_Custom Fork of khd2019/khd2019

Our custom AI Pipeline on Fundus disease for 2019 Konyang-hackathon.

Language: Python - Size: 980 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

xception-model 81 deep-learning 36 keras 21 tensorflow 19 transfer-learning 17 cnn 16 machine-learning 15 deep-neural-networks 13 image-classification 13 convolutional-neural-networks 12 xception 12 computer-vision 10 cnn-classification 9 python 9 python3 8 keras-tensorflow 7 classification 6 vgg16 5 opencv 5 resnet 5 jupyter-notebook 4 cnn-keras 4 cnn-model 4 svm-classifier 4 image-recognition 4 neural-network 4 inception-resnet-v2 4 resnet-50 4 javascript 4 pretrained-models 3 convolutional-neural-network 3 classification-model 3 expressjs 3 deeplearning 3 fine-tuning 3 tensorflow2 3 flask 3 mongodb 3 vgg16-model 3 keras-classification-models 3 nodejs 3 streamlit 3 image-processing 3 reactjs 3 precision-recall 2 imagenet 2 neural-networks 2 pytorch 2 covid-19 2 emotion-detection 2 data-science 2 opensearch 2 matplotlib 2 ensemble-machine-learning 2 scikit-learn 2 knn 2 skin-cancer 2 ensemble-learning 2 recognition 2 cv 2 alexnet 2 imagecaptioning 2 ai 2 gradio 2 prediction-model 2 react 2 model 2 depthwise-separable-convolutions 2 lstm 2 azure 2 pneumonia-detection 2 architecture 2 vgg19 2 firebase 2 medical-image-analysis 2 deepfake-detection 2 colab-notebook 2 skin-lesion-classification 2 visual-search 2 search-engine 2 search 2 sagemaker-example 2 sagemaker 2 feature-extraction 2 flask-application 2 gradcam-visualization 2 two-stream-cnn 1 action-recognition 1 object-localization 1 object-localisation 1 ucf-101 1 fine-tuning-cnns 1 kernel-development 1 multiple-kernel-learning 1 flickr 1 glove 1 glove-embeddings 1 imdb 1 imdb-dataset 1 lstm-model 1