Model: MobileNetV3
Transforms:
- Resize:
    interp: LINEAR
    keep_ratio: false
    target_size: !!python/tuple
    - 256
    - 256
- Normalize:
    apply_to_tar: true
    max_val:
    - 255.0
    - 255.0
    - 255.0
    mean:
    - 0.5
    - 0.5
    - 0.5
    min_val:
    - 0
    - 0
    - 0
    std:
    - 0.5
    - 0.5
    - 0.5
_Attributes:
  best_accuracy: !!python/object/apply:numpy.core.multiarray.scalar
  - !!python/object/apply:numpy.dtype
    args:
    - f4
    - false
    - true
    state: !!python/tuple
    - 3
    - <
    - null
    - null
    - null
    - -1
    - -1
    - 0
  - !!binary |
    1U5tPw==
  best_model_epoch: 1
  eval_metrics:
    top1: 0.9269841313362122
  fixed_input_shape: null
  in_channels: 3
  labels:
  - agricultural
  - airplane
  - baseballdiamond
  - beach
  - buildings
  - chaparral
  - denseresidential
  - forest
  - freeway
  - golfcourse
  - harbor
  - intersection
  - mediumresidential
  - mobilehomepark
  - overpass
  - parkinglot
  - river
  - runway
  - sparseresidential
  - storagetanks
  - tenniscourt
  model_type: classifier
  num_classes: 21
_init_params:
  in_channels: 3
  losses: null
  num_classes: 21
  use_mixed_loss: false
completed_epochs: 1
raw_params:
  num_classes: 21
status: Normal
version: 2.2.0