ResNet50 is a convolutional neural network (CNN) that stands out for its depth, comprising 50 layers, and its innovative use of residual learning.

• Health, Eye Disease
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VGG16 refers to the VGG model, also known as VGGNet, which is a convolutional neural network (CNN) architecture designed for image classification tasks.

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DenseNet is a type of convolutional neural network (CNN) architecture that utilizes dense connections between layers.

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EfficientNetB2 is one of the variants of the EfficientNet model architecture, which was introduced as an efficient and scalable CNN model for image classification.

• Machine Learning, Architecture
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Ensemble techniques are machine learning methods that combine multiple models to produce a more accurate and robust predictive model.

• Health, Eye Disease
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