GitHub topics: efficientnetb1
McKlay/plant-disease-type-EfficientNetB1
Plant Disease Classifier using a fine-tuned EfficientNetB1 model (96.68% accuracy on Kaggle). Upload a leaf image, use your webcam, or paste from the clipboard to detect the plant species and disease with confidence scores.
Language: Python - Size: 135 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
madison-freeman/brain-tumor-classification-model
In this project, we created a convolutional neural network using the EfficientNetB1 model in Keras to perform Image Classification of MRI brain scans with reasonably high (97.4%) accuracy.
Language: Jupyter Notebook - Size: 80.7 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1
veMfD67uGYXnH86bWg/cnn_covid19_prediction Fork of DataScientest-Studio/jul23_bds_radio_poumons
Projet de détection de la COVID-19 grâce aux réseaux de neurones convolutifs.
Language: Jupyter Notebook - Size: 1.43 GB - Last synced at: 16 days ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
leilibrk/Image-Classification-Deep-Learning
Explore deep learning-powered image classification with PyTorch. Achieved 98% accuracy on Natural Images and 95% on Birds Species using AlexNet and EfficientNet-B1. Dive into the code and results!
Language: Jupyter Notebook - Size: 362 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
nazianafis/Brain-Tumor-Classification
Helping detect the type of brain tumor (if any) using EfficientNetB1.
Language: Jupyter Notebook - Size: 81.6 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2
AshishBodhankar/Image_Classification_Kaggle_FGVC21
Finetuned pretrained-CNN architectures on Kaggle's FGVC21 plant pathology dataset (Implemented in Keras)
Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
