Deep Learning Project on Plant Disease Detection using CNN, Keras, Transform Learning Models
Budget: ₹600 – ₹7,000 INR
This is a deep learning project (Plant Disease Classification) where you have to implement any 4-5 transform learning models (like VGG16, VGG19, ResNet, MobileNet, Inceptionv3, EffiicentNet, Xception or any other model) on this dataset.
Dataset: https://www.kaggle.com/datasets/csafrit2/plant-leaves-for-image-classification
Evaluate model in sequential manner using Basic Imports, Data Processing (Image Augmentation), Using pre-trained model and then fitting the model (running epochs) and evaluating the accuracies and losses with graphs, show the confusion matrix for all classes, classification report, and test with separate images given in "images to predict" directory at the end.
Dataset: https://www.kaggle.com/datasets/csafrit2/plant-leaves-for-image-classification
Evaluate model in sequential manner using Basic Imports, Data Processing (Image Augmentation), Using pre-trained model and then fitting the model (running epochs) and evaluating the accuracies and losses with graphs, show the confusion matrix for all classes, classification report, and test with separate images given in "images to predict" directory at the end.