readme: ---
  license: other
  tags:
  - vision
  - image-segmentation
  - generated_from_trainer
  model-index:
  - name: segformer-b0-finetuned-segments-sidewalk-oct-22
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # segformer-b0-finetuned-segments-sidewalk-oct-22
  
  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9249
  - Mean Iou: 0.1675
  - Mean Accuracy: 0.2109
  - Overall Accuracy: 0.7776
  - Accuracy Unlabeled: nan
  - Accuracy Flat-road: 0.8631
  - Accuracy Flat-sidewalk: 0.9423
  - Accuracy Flat-crosswalk: 0.0
  - Accuracy Flat-cyclinglane: 0.4704
  - Accuracy Flat-parkingdriveway: 0.1421
  - Accuracy Flat-railtrack: 0.0
  - Accuracy Flat-curb: 0.0061
  - Accuracy Human-person: 0.0
  - Accuracy Human-rider: 0.0
  - Accuracy Vehicle-car: 0.8937
  - Accuracy Vehicle-truck: 0.0
  - Accuracy Vehicle-bus: 0.0
  - Accuracy Vehicle-tramtrain: 0.0
  - Accuracy Vehicle-motorcycle: 0.0
  - Accuracy Vehicle-bicycle: 0.0
  - Accuracy Vehicle-caravan: 0.0
  - Accuracy Vehicle-cartrailer: 0.0
  - Accuracy Construction-building: 0.9143
  - Accuracy Construction-door: 0.0
  - Accuracy Construction-wall: 0.0055
  - Accuracy Construction-fenceguardrail: 0.0
  - Accuracy Construction-bridge: 0.0
  - Accuracy Construction-tunnel: nan
  - Accuracy Construction-stairs: 0.0
  - Accuracy Object-pole: 0.0
  - Accuracy Object-trafficsign: 0.0
  - Accuracy Object-trafficlight: 0.0
  - Accuracy Nature-vegetation: 0.9291
  - Accuracy Nature-terrain: 0.8710
  - Accuracy Sky: 0.9207
  - Accuracy Void-ground: 0.0
  - Accuracy Void-dynamic: 0.0
  - Accuracy Void-static: 0.0
  - Accuracy Void-unclear: 0.0
  - Iou Unlabeled: nan
  - Iou Flat-road: 0.6127
  - Iou Flat-sidewalk: 0.8192
  - Iou Flat-crosswalk: 0.0
  - Iou Flat-cyclinglane: 0.4256
  - Iou Flat-parkingdriveway: 0.1262
  - Iou Flat-railtrack: 0.0
  - Iou Flat-curb: 0.0061
  - Iou Human-person: 0.0
  - Iou Human-rider: 0.0
  - Iou Vehicle-car: 0.6655
  - Iou Vehicle-truck: 0.0
  - Iou Vehicle-bus: 0.0
  - Iou Vehicle-tramtrain: 0.0
  - Iou Vehicle-motorcycle: 0.0
  - Iou Vehicle-bicycle: 0.0
  - Iou Vehicle-caravan: 0.0
  - Iou Vehicle-cartrailer: 0.0
  - Iou Construction-building: 0.5666
  - Iou Construction-door: 0.0
  - Iou Construction-wall: 0.0054
  - Iou Construction-fenceguardrail: 0.0
  - Iou Construction-bridge: 0.0
  - Iou Construction-tunnel: nan
  - Iou Construction-stairs: 0.0
  - Iou Object-pole: 0.0
  - Iou Object-trafficsign: 0.0
  - Iou Object-trafficlight: 0.0
  - Iou Nature-vegetation: 0.7875
  - Iou Nature-terrain: 0.6912
  - Iou Sky: 0.8218
  - Iou Void-ground: 0.0
  - Iou Void-dynamic: 0.0
  - Iou Void-static: 0.0
  - Iou Void-unclear: 0.0
  
  ## 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:
  - learning_rate: 6e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Flat-road | Accuracy Flat-sidewalk | Accuracy Flat-crosswalk | Accuracy Flat-cyclinglane | Accuracy Flat-parkingdriveway | Accuracy Flat-railtrack | Accuracy Flat-curb | Accuracy Human-person | Accuracy Human-rider | Accuracy Vehicle-car | Accuracy Vehicle-truck | Accuracy Vehicle-bus | Accuracy Vehicle-tramtrain | Accuracy Vehicle-motorcycle | Accuracy Vehicle-bicycle | Accuracy Vehicle-caravan | Accuracy Vehicle-cartrailer | Accuracy Construction-building | Accuracy Construction-door | Accuracy Construction-wall | Accuracy Construction-fenceguardrail | Accuracy Construction-bridge | Accuracy Construction-tunnel | Accuracy Construction-stairs | Accuracy Object-pole | Accuracy Object-trafficsign | Accuracy Object-trafficlight | Accuracy Nature-vegetation | Accuracy Nature-terrain | Accuracy Sky | Accuracy Void-ground | Accuracy Void-dynamic | Accuracy Void-static | Accuracy Void-unclear | Iou Unlabeled | Iou Flat-road | Iou Flat-sidewalk | Iou Flat-crosswalk | Iou Flat-cyclinglane | Iou Flat-parkingdriveway | Iou Flat-railtrack | Iou Flat-curb | Iou Human-person | Iou Human-rider | Iou Vehicle-car | Iou Vehicle-truck | Iou Vehicle-bus | Iou Vehicle-tramtrain | Iou Vehicle-motorcycle | Iou Vehicle-bicycle | Iou Vehicle-caravan | Iou Vehicle-cartrailer | Iou Construction-building | Iou Construction-door | Iou Construction-wall | Iou Construction-fenceguardrail | Iou Construction-bridge | Iou Construction-tunnel | Iou Construction-stairs | Iou Object-pole | Iou Object-trafficsign | Iou Object-trafficlight | Iou Nature-vegetation | Iou Nature-terrain | Iou Sky | Iou Void-ground | Iou V