readme: ---
  license: other
  tags:
  - generated_from_keras_callback
  model-index:
  - name: MariaK/mit-b0-finetuned-sidewalks
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # MariaK/mit-b0-finetuned-sidewalks
  
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.8550
  - Validation Loss: 0.8639
  - Validation Mean Iou: 0.2220
  - Validation Mean Accuracy: 0.2670
  - Validation Overall Accuracy: 0.7725
  - Validation Accuracy Unlabeled: 0.0
  - Validation Accuracy Flat-road: 0.6015
  - Validation Accuracy Flat-sidewalk: 0.9708
  - Validation Accuracy Flat-crosswalk: 0.3807
  - Validation Accuracy Flat-cyclinglane: 0.7538
  - Validation Accuracy Flat-parkingdriveway: 0.1524
  - Validation Accuracy Flat-railtrack: nan
  - Validation Accuracy Flat-curb: 0.1957
  - Validation Accuracy Human-person: 0.2585
  - Validation Accuracy Human-rider: 0.0
  - Validation Accuracy Vehicle-car: 0.8971
  - Validation Accuracy Vehicle-truck: 0.0
  - Validation Accuracy Vehicle-bus: 0.0
  - Validation Accuracy Vehicle-tramtrain: nan
  - Validation Accuracy Vehicle-motorcycle: 0.0
  - Validation Accuracy Vehicle-bicycle: 0.0716
  - Validation Accuracy Vehicle-caravan: 0.0
  - Validation Accuracy Vehicle-cartrailer: 0.0
  - Validation Accuracy Construction-building: 0.8784
  - Validation Accuracy Construction-door: 0.0
  - Validation Accuracy Construction-wall: 0.4315
  - Validation Accuracy Construction-fenceguardrail: 0.1948
  - Validation Accuracy Construction-bridge: 0.0
  - Validation Accuracy Construction-tunnel: nan
  - Validation Accuracy Construction-stairs: 0.0
  - Validation Accuracy Object-pole: 0.1201
  - Validation Accuracy Object-trafficsign: 0.0
  - Validation Accuracy Object-trafficlight: 0.0
  - Validation Accuracy Nature-vegetation: 0.8952
  - Validation Accuracy Nature-terrain: 0.8231
  - Validation Accuracy Sky: 0.8496
  - Validation Accuracy Void-ground: 0.0
  - Validation Accuracy Void-dynamic: 0.0
  - Validation Accuracy Void-static: 0.0692
  - Validation Accuracy Void-unclear: 0.0
  - Validation Iou Unlabeled: 0.0
  - Validation Iou Flat-road: 0.5568
  - Validation Iou Flat-sidewalk: 0.7479
  - Validation Iou Flat-crosswalk: 0.3509
  - Validation Iou Flat-cyclinglane: 0.6355
  - Validation Iou Flat-parkingdriveway: 0.1298
  - Validation Iou Flat-railtrack: nan
  - Validation Iou Flat-curb: 0.1326
  - Validation Iou Human-person: 0.2455
  - Validation Iou Human-rider: 0.0
  - Validation Iou Vehicle-car: 0.6973
  - Validation Iou Vehicle-truck: 0.0
  - Validation Iou Vehicle-bus: 0.0
  - Validation Iou Vehicle-tramtrain: nan
  - Validation Iou Vehicle-motorcycle: 0.0
  - Validation Iou Vehicle-bicycle: 0.0610
  - Validation Iou Vehicle-caravan: 0.0
  - Validation Iou Vehicle-cartrailer: 0.0
  - Validation Iou Construction-building: 0.6479
  - Validation Iou Construction-door: 0.0
  - Validation Iou Construction-wall: 0.3003
  - Validation Iou Construction-fenceguardrail: 0.1727
  - Validation Iou Construction-bridge: 0.0
  - Validation Iou Construction-tunnel: nan
  - Validation Iou Construction-stairs: 0.0
  - Validation Iou Object-pole: 0.0927
  - Validation Iou Object-trafficsign: 0.0
  - Validation Iou Object-trafficlight: 0.0
  - Validation Iou Nature-vegetation: 0.7758
  - Validation Iou Nature-terrain: 0.7000
  - Validation Iou Sky: 0.8002
  - Validation Iou Void-ground: 0.0
  - Validation Iou Void-dynamic: 0.0
  - Validation Iou Void-static: 0.0573
  - Validation Iou Void-unclear: 0.0
  - Epoch: 1
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  - training_precision: float32
  
  ### Training results
  
  | Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Unlabeled | Validation Accuracy Flat-road | Validation Accuracy Flat-sidewalk | Validation Accuracy Flat-crosswalk | Validation Accuracy Flat-cyclinglane | Validation Accuracy Flat-parkingdriveway | Validation Accuracy Flat-railtrack | Validation Accuracy Flat-curb | Validation Accuracy Human-person | Validation Accuracy Human-rider | Validation Accuracy Vehicle-car | Validation Accuracy Vehicle-truck | Validation Accuracy Vehicle-bus | Validation Accuracy Vehicle-tramtrain | Validation Accuracy Vehicle-motorcycle | Validation Accuracy Vehicle-bicycle | Validation Accuracy Vehicle-caravan | Validation Accuracy Vehicle-cartrailer | Validation Accuracy Construction-building | Validation Accuracy Construction-door | Validation Accuracy Construction-wall | Validation Accuracy Construction-fenceguardrail |