TensorFlow implementation of the Xception Model by François Chollet
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Sep 9, 2019 - Python
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TensorFlow implementation of the Xception Model by François Chollet
real-time face detection and emotion classification
My re-implementation of two stream action recognition
Web App to identify Humans and extract Human Bodies from the image without Background
Regression in Convolutional Neural Network applied to Plant Leaf Count
Online learning platform with automatic engagement recognition
Bridging the gap between Patients and Doctors
This repo includes classifier trained to distinct 7 type of skin lesions
Deep learning project using Keras that aims to detect (localize) thyroid lesions on ultrasound scans
Tagging images of bank cheques
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
Cropping the objects from an image
Identification of Medicinal Plants Using Xception
Repositori untuk aplikasi Pencarian Kesamaan Gambar menggunakan Flask dan model CNN + Xception
Xception1d implementation for audio categorization
Determine a seedling Species from an image based on Kaggle Competition
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 fo 8000 r health diagnostics.
This repository contains a Flask app that is capable of detecting Covid19 cases from xray images.
This repository encompasses deep learning and machine learning models designed for real-time deepfake detection and the prediction of image manipulation presence.
Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.
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