GitHub topics: efficientnetb3
ShaikhBorhanUddin/Facial-Emotion-Recognition
A deep learning project for classifying seven core emotions from facial expressions using transfer learning on high-resolution RGB images. Focused on model performance, efficiency, and real-world applicability.
Language: Jupyter Notebook - Size: 41.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
sayemuzzamansiam/ImageCaptionGenerators
Generate captions for images using deep learning models CNN and LSTM architectures
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AbhiramDodda/SkinDiseaseDetection
Skin diseases can be detected and classified through Deep Learning techniques. In this project Deep CNN network is built on top of EfficientNetB3 for image classification.
Language: Python - Size: 1.57 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0
i-am-stark/rice_leaf_disease_image_classification
To preform image classification on Rice Leaf Disease images using CNN via various methods.
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hema123-4/-Alzheimer-Disease-Detection-with-HPC-and-EffiecientNetB3
the advancement of Alzheimer's illness utilizing Convolution Neural Systems (CNN) and EfficientNetB3 architecture, which was applied to pre-processed MRI datasets. The purpose of the project is to use efficient high-performance computing (HPC) to improve the performance of the model, which makes the diagnostic process more efficient and reliable th
Language: Python - Size: 7.81 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
venkatavamsi01/CNN_VGG19_EfficientNet_Distraction_Detection
Driver Distraction Detection with CNN and Transfer Learning (VGG19, EfficientNet)
Language: Jupyter Notebook - Size: 894 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
shshwtsrkr/Biopsy-AI
This project is our submission, for the Google Solution Challenge 2023. With this project, we hope to make an impact and contribute to the field of Good Health and Wellbeing. This project aims to make early stage cancer detection of various types (specifically Brain Tumor, Breast Cancer & Leukemia) sustainable.
Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 3
Aliviarahma/Image-Classification-Using-Transfer-Learning
Eye Disease Detection using Transfer Learning (DenseNet-121, EfficientNetB3, VGG-16, Resnet-152)
Language: Jupyter Notebook - Size: 10 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
SalehAhmedShafin/Multimodal-Disaster-Event-Identification-from-Social-Media-Posts
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%
Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
