super-gradients/src/super_gradients/recipes/dataset_params/cityscapes_dataset_params.yaml

batch_size: 8                     # batch size for trainset in DatasetInterface
val_batch_size: 8                 # batch size for valset in DatasetInterface
dataset_dir: /data/cityscapes     # path to imagenet directory (local)
crop_size: [2048, 1024]           # crop size (size of net's input)
img_size: 1024
train_loader_drop_last: True      # drop the last incomplete batch, if the dataset size is not divisible by the batch size
color_jitter: 0.                  # Training color jitter param
random_scales: [0.5, 2.]          # RandomScale scales param for trainset
eval_scale: 1.                    # Resacle scale-factor of the validation set
cityscapes_ignored_label: 19      # ignored label idx