Topic: densenet201 Goto Github
Some thing interesting about densenet201
Some thing interesting about densenet201
densenet201,Thesis Project
User: alekhyabhupati
densenet201,Makerere Passion Fruit Disease Detection Challenge
User: andryrafam
densenet201,Classification of Tuberculosis (X-ray imagery).
User: andryrafam
densenet201,Autostereogram Classification. Foundational concept to begin understanding how to differentiate between the image of a known thing, and a hidden like image in an autostereogram.
User: cody-freese
densenet201,This project uses mammograms for breast cancer detection using deep learning techniques.
User: farhan123806
densenet201,Skin Cancer Detection: Leveraging Hybrid Deep Learning Models and Traditional Machine Learning Classifiers
User: farihasultana1204
densenet201,A food image to recipe converter for Indian food.
User: gokulkrh
densenet201,This project uses mammograms for breast cancer detection using deep learning techniques.
User: hrsht-13
densenet201,CNN to develop a system that can automatically classify these X-rays as either indicative of COVID-19 infection or negative for the virus.
User: itsmarmot
Home Page: https://colab.research.google.com/drive/1rBtQ3JRLMdVbWI5bg2rnENwHRguUacQQ
densenet201,'CNN_Sorghum_Weed_Classifier' is an artificial intelligence (AI) based software that can differentiate a sorghum sampling image from its associated weeds images.
User: justinamichael
Home Page: https://data.mendeley.com/datasets/4gkcyxjyss/1
densenet201,Deep Learning Final Project
User: maggie0927
densenet201,Ensemble based transfer learning approach for accurately classifying common thoracic diseases from Chest X-Rays
Organization: perxeptron
densenet201,Transfer-Learning based Sugarcane Leaf Disease Detection Using DenseNet201 Architecture
User: roshitab
densenet201,Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and DenseNet264 (1D and 2D version with DEMO for Classification and Regression)
User: sakib1263
densenet201,We have proposed a multimodal approach. Where we first took the best unimodal for textual and visual data classification by testing and automation process. Then we fusion of the two models which can successfully classify the materials that have been damaged using the image and text data. EfficientNetB3+BERT multimodal better accuracy with 94.18%
User: salehahmedshafin
densenet201,A web app to predict whether a person has COVID-19 from their Chest X-Ray (CXR) scan by image classification using Transfer Learning with the pre-trained models VGG-16 and DenseNet201 with ImageNet weights.
User: srihk
Home Page: https://covid-detection-cxr.herokuapp.com/
densenet201,Code repository for training multi-label classification models on the CheXpert Chest X-ray dataset.
User: tamerthamoqa
densenet201,Comparitive analysis of various CNN models which includes, RapidNet (Custom Model), VGG16, VGG19, InceptionV3, and DenseNet201.
User: thecoffeedev
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