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Segments

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segformer
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End of training

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Files changed (5) hide show
  1. README.md +78 -1
  2. all_results.json +85 -0
  3. eval_results.json +80 -0
  4. train_results.json +8 -0
  5. trainer_state.json +40 -0
README.md CHANGED
@@ -2,6 +2,8 @@
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  license: other
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  base_model: nvidia/mit-b0
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  tags:
 
 
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  - generated_from_trainer
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  model-index:
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  - name: Segments
@@ -13,7 +15,82 @@ should probably proofread and complete it, then remove this comment. -->
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  # Segments
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- This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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  license: other
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  base_model: nvidia/mit-b0
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  tags:
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+ - image-segmentation
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+ - vision
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  - generated_from_trainer
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  model-index:
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  - name: Segments
 
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  # Segments
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+ This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the segments/sidewalk-semantic dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9830
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+ - Mean Iou: 0.1931
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+ - Mean Accuracy: 0.2401
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+ - Overall Accuracy: 0.7586
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+ - Accuracy Unlabeled: nan
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+ - Accuracy Flat-road: 0.7259
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+ - Accuracy Flat-sidewalk: 0.9518
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+ - Accuracy Flat-crosswalk: 0.5588
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+ - Accuracy Flat-cyclinglane: 0.5550
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+ - Accuracy Flat-parkingdriveway: 0.1159
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+ - Accuracy Flat-railtrack: nan
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+ - Accuracy Flat-curb: 0.1277
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+ - Accuracy Human-person: 0.0990
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+ - Accuracy Human-rider: 0.0
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+ - Accuracy Vehicle-car: 0.9049
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+ - Accuracy Vehicle-truck: 0.0
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+ - Accuracy Vehicle-bus: 0.0
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+ - Accuracy Vehicle-tramtrain: nan
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+ - Accuracy Vehicle-motorcycle: 0.0
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+ - Accuracy Vehicle-bicycle: 0.0
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+ - Accuracy Vehicle-caravan: 0.0
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+ - Accuracy Vehicle-cartrailer: 0.0
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+ - Accuracy Construction-building: 0.8590
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+ - Accuracy Construction-door: 0.0
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+ - Accuracy Construction-wall: 0.0013
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+ - Accuracy Construction-fenceguardrail: 0.0
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+ - Accuracy Construction-bridge: 0.0
47
+ - Accuracy Construction-tunnel: nan
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+ - Accuracy Construction-stairs: 0.0
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+ - Accuracy Object-pole: 0.0088
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+ - Accuracy Object-trafficsign: 0.0
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+ - Accuracy Object-trafficlight: 0.0
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+ - Accuracy Nature-vegetation: 0.9206
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+ - Accuracy Nature-terrain: 0.7756
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+ - Accuracy Sky: 0.8391
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+ - Accuracy Void-ground: 0.0
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+ - Accuracy Void-dynamic: 0.0
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+ - Accuracy Void-static: 0.0
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+ - Accuracy Void-unclear: 0.0
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+ - Iou Unlabeled: nan
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+ - Iou Flat-road: 0.5951
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+ - Iou Flat-sidewalk: 0.7822
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+ - Iou Flat-crosswalk: 0.5498
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+ - Iou Flat-cyclinglane: 0.4666
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+ - Iou Flat-parkingdriveway: 0.1001
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+ - Iou Flat-railtrack: nan
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+ - Iou Flat-curb: 0.1078
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+ - Iou Human-person: 0.0979
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+ - Iou Human-rider: 0.0
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+ - Iou Vehicle-car: 0.6265
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+ - Iou Vehicle-truck: 0.0
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+ - Iou Vehicle-bus: 0.0
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+ - Iou Vehicle-tramtrain: nan
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+ - Iou Vehicle-motorcycle: 0.0
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+ - Iou Vehicle-bicycle: 0.0
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+ - Iou Vehicle-caravan: 0.0
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+ - Iou Vehicle-cartrailer: 0.0
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+ - Iou Construction-building: 0.4997
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+ - Iou Construction-door: 0.0
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+ - Iou Construction-wall: 0.0013
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+ - Iou Construction-fenceguardrail: 0.0
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+ - Iou Construction-bridge: 0.0
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+ - Iou Construction-tunnel: nan
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+ - Iou Construction-stairs: 0.0
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+ - Iou Object-pole: 0.0088
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+ - Iou Object-trafficsign: 0.0
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+ - Iou Object-trafficlight: 0.0
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+ - Iou Nature-vegetation: 0.7405
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+ - Iou Nature-terrain: 0.6034
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+ - Iou Sky: 0.8052
90
+ - Iou Void-ground: 0.0
91
+ - Iou Void-dynamic: 0.0
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+ - Iou Void-static: 0.0
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+ - Iou Void-unclear: 0.0
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  ## Model description
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