Run independent checks on an exported training dataset: the integrity
inventory, split leakage (every group and image in exactly one split, every
tile in its image's split), mask dimensions and orientation, integer label
range against the class legend, the recorded overlap counts, and a
mask -> ROI -> mask round trip on a sample of tiles. When the source x is
supplied, each sampled tile is also re-rasterised from the annotations and
compared exactly.
Usage
at_training_check(
dataset,
x = NULL,
max_roundtrip_tiles = 20L,
call = rlang::caller_env()
)Arguments
- dataset
Path of a dataset written by
at_training_export().- x
Optional source annot_session or annot_project.
- max_roundtrip_tiles
Maximum number of tiles sampled for round trips.
- call
The calling environment, for error reporting.
See also
Other training:
at_training_export(),
at_training_import()