Dog Breed Identification challenge

Part 1 (2018)
51

In the below code, why are we choosing 300 as the default size value to check if condition?

def get_data(sz, bs):
    tfms = tfms_from_model(arch, sz, aug_tfms=transforms_side_on, max_zoom = 1.1)
    data = ImageClassifierData.from_csv(PATH, 'train', f'{PATH}labels.csv', 
                                    test_name ='test', val_idxs=val_idxs, suffix='.jpg', tfms=tfms, bs=bs)
    return data if sz>300 else data.resize(340, 'tmp')
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