The research paper aims to compare various pretrained Cnn(Convolution neural net

The research paper aims to compare various pretrained Cnn(Convolution neural network) models to analyze labelled dataset of cars to ascertain if it’s total loss or not. We aim to compare the various models in terms
of their accuracy, precision and various other benchmarks to decide what model can be used to best
determine if the damage is total loss or not.
The attached file contains more information about the dataset. The evaluation metrics should compare ( AlexNet, VGG16 and ResNet) the models mentioned in the attached file on the datasets mentioned. I will get the code and charts.
I would need the writer to get the abstract, methodologies, research already done in the field with reference and how does the current research aim to better the previous work or why is it different.
example of the format and structure expected –
https://pureadmin.qub.ac.uk/ws/portalfiles/portal/505842216/Vehicle_damage_severity_estimation.pdf#page=12&zoom=100,65,608