aiornot-Resnet50

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This model is built for a coding challenge for Fatima Fellowship 2023 Application. It is for classifing an image as ai generated or real.

Model Details

The model was built using ResNet50 pretrained. The skeleton of the model is base = ResNet50(include_top=False, weights='imagenet', input_shape=(128,128,3)) for layer in base.layers: layer.trainable = False output = base.output output = Flatten()(output) output = Dense(256, activation='relu')(output) output = Dense(128, activation='relu')(output) output = Dropout(rate=0.3)(output) output = Dense(1, activation = "sigmoid")(output) model = Model(base.input, output)

Model Description

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• Developed by: [Mizanu Zelalem]

Model Sources [optional]

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• Repository:
• Colab notebook of the project can be found here : https://colab.research.google.com/drive/1-50OF83EwzezdGAV0Tna_b5gvC7qjSi3?usp=sharing
• model.h5 can be accesed from here : https://drive.google.com/file/d/10aqeUV6RkhnSRuc1OLKl0uOMXdo9DouQ/view?usp=sharing