Topic: xception-model Goto Github
Some thing interesting about xception-model
Some thing interesting about xception-model
xception-model,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.
User: adityakapole
xception-model,Classification of Pneumonia Cases using Xception Deep Model and Transfer Learning in Chest X-ray Images
User: aghdamamir
xception-model,Dance Forms Identification: A Deep Learning Classification Problem.
User: akarsh1
xception-model,Segmentation using DeepLabV3+
User: ankit1khare
xception-model,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.
User: anvit1618
xception-model,Repositori untuk aplikasi Pencarian Kesamaan Gambar menggunakan Flask dan model CNN + Xception
User: asmindev
Home Page: https://www.kaggle.com/code/zettcode/image-similarity
xception-model,Workshop to create a visual search engine using Amazon SageMaker and Amazon OpenSearchService
Organization: aws-samples
xception-model,Workshop CDK Template to provision infra for the Deep Visual Search workshop
Organization: aws-samples
xception-model,This is the repo for the challenges of the "Artificial neural networks and Deep Learning" course at PoliMi 2020/2021
User: calde97
xception-model,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.
User: chetang696
xception-model,Deep learning project using Keras that aims to detect (localize) thyroid lesions on ultrasound scans
User: codesigma91
xception-model,A CNN using the architecture of the Xception model to build a multi-class garbage classifier.
User: derinben
xception-model,This repo includes classifier trained to distinct 7 type of skin lesions
User: deveshsangwan
xception-model,Use transfer learning for large image classification
User: dhairyac
xception-model,Car-type Recognition with Deep Learning
User: friends168888
xception-model,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
User: gaoyuanliang
xception-model,Tagging the images which have the road signs
User: gaoyuanliang
xception-model,Food recognition base on its class and weight
User: gen0924
xception-model,
User: gorjul
xception-model, Computer vision project with Convolution from scratch Neural Network and transfer learning to determine dog breed
User: ismailazdad
xception-model,test models to proove state of art of object detection and classification in 3 differents dataset
User: ismailazdad
xception-model,Xception1d implementation for audio categorization
User: ivallesp
xception-model,I Implemented some of the custom complex Convolutional Neural Network architecture using tensorow.keras Functional API.
User: jash-2000
xception-model,Cropping the objects from an image
User: kanavanand
xception-model,Web App to identify Humans and extract Human Bodies from the image without Background
User: kd1994
xception-model,TensorFlow implementation of the Xception Model by François Chollet
User: kwotsin
xception-model,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.
User: lavanya2004k
xception-model,Image classification using both non-DL and DL approaches. Some interesting techniques are included like SIFT-feature extraction and multiple kernel learning (MLK).
User: louisvanlangendonck
xception-model,Automated Bone Age Assessment using Deep Convolutional Neural Network
Organization: ml-repos
xception-model,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/
User: mohamedsebaie
xception-model,My re-implementation of two stream action recognition
User: mohammed-elkomy
xception-model,This repo consists a Python Notebook file where I have performed transfer learning using Keras Xception Transformer.
User: mohitkothari-dev
xception-model,Regression in Convolutional Neural Network applied to Plant Leaf Count
User: neemiasbsilva
xception-model,This repository encompasses deep learning and machine learning models designed for real-time deepfake detection and the prediction of image manipulation presence.
User: nourhenehanana
xception-model,This repository contains a Flask app that is capable of detecting Covid19 cases from xray images.
User: prabhat-123
xception-model,Bridging the gap between Patients and Doctors
User: radioactive11
Home Page: https://eureka-web.vercel.app/
xception-model,Dog Breed Classification with pre-trained xception model using feature extraction with convnet.
User: rekpero
xception-model,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.
User: rrfsantos
xception-model,we used publicly available datasets to apply some deep learning modeling techniques
User: sadeemalharthi
xception-model,Detecting of COVID-19 induced Pneumonia in Chest X-ray Images using using Modified XceptionNet
User: sid321axn
xception-model,Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.
User: swapnita-pandey
xception-model,Determine a seedling Species from an image based on Kaggle Competition
User: thesaintindiano
xception-model,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.
User: thisishardik
xception-model, 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.
User: utkarsh-technical
xception-model,A novel deep learning based technique for effective cancer detection.
User: vivek2188
xception-model,real-time face detection and emotion classification
User: xiuweihe
xception-model,Tagging images of bank cheques
User: yanliang12
xception-model,Online learning platform with automatic engagement recognition
User: yogesh-kamat
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