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Model description

This model uses the u-net architecture to train boundary detection on patches from sketched boundaries collected during the SmartLandMaps project.

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

Hyperparameters Value
name RMSprop
weight_decay None
clipnorm None
global_clipnorm None
clipvalue None
use_ema False
ema_momentum 0.99
ema_overwrite_frequency 100
jit_compile True
is_legacy_optimizer False
learning_rate 9.999999747378752e-05
rho 0.9
momentum 0.0
epsilon 1e-07
centered False
training_precision float32

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