53 skills found · Page 1 of 2
kwotsin / TensorFlow XceptionTensorFlow implementation of the Xception Model by François Chollet
kaushikjadhav01 / COVID 19 Detection Flask App Based On Chest X Rays And CT ScansCOVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.
cpgeier / SantosNetA simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV
XiuweiHe / EmotionClassifierreal-time face detection and emotion classification
mohammed-elkomy / Two Stream Action RecognitionMy re-implementation of two stream action recognition
Ahthe / Brain Tumor Prediction MLBrain Tumor Classification Using Deep Learning
hallowshaw / Lung Cancer Prediction Using CNN And Transfer LearningA deep learning-based system for predicting lung cancer from CT scan images using Convolutional Neural Networks (CNN). This project utilizes the Xception model for image classification into four categories: Normal, Adenocarcinoma, Large Cell Carcinoma, and Squamous Cell Carcinoma.
Apoorvajasti / Distracted Driver DetectionStateFarm dataset used to predict the class of the distracted driver using VGG-16, RESNET50, XCEPTION and MOBILE NET models
braindotai / Facial Landmarks Detection PytorchImplementation of facial landmarks detection using pytorch on iBUG 300W dataset. Why Xception Net? Because it provides satisfactory accuracy, with least computational requirement and memory utilization, I mean can you believe that my model, which looks kinda massive, is only of 10MB!
abarcel / HaikumodelsPretrained models for Jax/Haiku; MobileNet, ResNet, VGG, Xception.
ksvbka / Face Mask DetectorDetecting face mask with OpenCV and TensorFlow. Using simple CNN or model provided by TensorFlow as MobileNetV2, VGG16, Xception.
KD1994 / Body Detection With BG RemovalWeb App to identify Humans and extract Human Bodies from the image without Background
neemiasbsilva / Regression In CNNs Applied To Plant Leaf CountRegression in Convolutional Neural Network applied to Plant Leaf Count
yogesh-kamat / EduMeetOnline learning platform with automatic engagement recognition
dalision / IVA XceptionIVA-Xception model which can achieve high performance in identifying multiple birds from overlapping bird sounds recordings based on IVA and Xception
radioactive11 / HealthBridgeBridging the gap between Patients and Doctors
hallowshaw / PredictiXPredictiX 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.
HiKapok / Xception TensorflowXception V1 model in Tensorflow with pretrained weights on ImageNet
tahangz / Hybrid Xception Vision Transformer Deepfake DetectionA deepfake detection system combining Xception and Vision Transformer (ViT) models to identify AI-generated images and videos. Trained on the DFDC dataset, this project leverages TensorFlow/Keras for robust detection of facial manipulation artifacts.
Logeshwaran-KS / Medicinal Plants Detection Using Deep LearningIdentification of Medicinal Plants Using Xception
