Image 'features' property design question

[OlehOnyshchak]

So now we have it calculated as following:

output of 5-th convolutional layer of ResNet152 trained on ImageNet dataset. That output of shape (19, 24, 2048) is then max-pooled to a shape (2048,). Features are taken from original images downloaded in jpeg format with a fixed width of 600px. Practically, it is a list of floats with len = 2048

But should we max-pool that tensor instead of saving the original (19, 24, 2048)? And if we really want just 2048, wouldn't it be better just to use ResNet101, which outputs tensors of this shape? (TODO: double-check whether it's true)