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segformer-finetuned-fingertip-10-steps

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Files changed (6) hide show
  1. README.md +78 -1
  2. all_results.json +84 -0
  3. eval_results.json +80 -0
  4. runs/Dec29_22-11-04_Emanuele/events.out.tfevents.1703884511.Emanuele.5592.1 +3 -0
  5. train_results.json +7 -0
  6. trainer_state.json +111 -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: segformer-finetuned-fingertip-10-steps
@@ -13,7 +15,82 @@ should probably proofread and complete it, then remove this comment. -->
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  # segformer-finetuned-fingertip-10-steps
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- This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown 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: segformer-finetuned-fingertip-10-steps
 
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  # segformer-finetuned-fingertip-10-steps
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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: 3.5204
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+ - Mean Iou: 0.0132
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+ - Mean Accuracy: 0.0688
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+ - Overall Accuracy: 0.0956
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+ - Accuracy Unlabeled: nan
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+ - Accuracy Flat-road: 0.0201
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+ - Accuracy Flat-sidewalk: 0.1177
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+ - Accuracy Flat-crosswalk: 0.0014
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+ - Accuracy Flat-cyclinglane: 0.4426
29
+ - Accuracy Flat-parkingdriveway: 0.0021
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+ - Accuracy Flat-railtrack: nan
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+ - Accuracy Flat-curb: 0.0008
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+ - Accuracy Human-person: 0.0010
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+ - Accuracy Human-rider: 0.0077
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+ - Accuracy Vehicle-car: 0.1566
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+ - Accuracy Vehicle-truck: 0.0040
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+ - Accuracy Vehicle-bus: 0.0
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+ - Accuracy Vehicle-tramtrain: nan
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+ - Accuracy Vehicle-motorcycle: 0.5317
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+ - Accuracy Vehicle-bicycle: 0.0892
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+ - Accuracy Vehicle-caravan: 0.0
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+ - Accuracy Vehicle-cartrailer: nan
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+ - Accuracy Construction-building: 0.0578
43
+ - Accuracy Construction-door: 0.0682
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+ - Accuracy Construction-wall: 0.0002
45
+ - Accuracy Construction-fenceguardrail: 0.0000
46
+ - Accuracy Construction-bridge: 0.0
47
+ - Accuracy Construction-tunnel: nan
48
+ - Accuracy Construction-stairs: 0.0055
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+ - Accuracy Object-pole: 0.0162
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+ - Accuracy Object-trafficsign: 0.0
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+ - Accuracy Object-trafficlight: 0.3811
52
+ - Accuracy Nature-vegetation: 0.0756
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+ - Accuracy Nature-terrain: 0.0010
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+ - Accuracy Sky: 0.0038
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+ - Accuracy Void-ground: 0.0400
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+ - Accuracy Void-dynamic: 0.0002
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+ - Accuracy Void-static: 0.0386
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+ - Accuracy Void-unclear: 0.0
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+ - Iou Unlabeled: 0.0
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+ - Iou Flat-road: 0.0193
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+ - Iou Flat-sidewalk: 0.1141
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+ - Iou Flat-crosswalk: 0.0013
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+ - Iou Flat-cyclinglane: 0.0702
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+ - Iou Flat-parkingdriveway: 0.0019
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+ - Iou Flat-railtrack: 0.0
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+ - Iou Flat-curb: 0.0007
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+ - Iou Human-person: 0.0005
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+ - Iou Human-rider: 0.0001
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+ - Iou Vehicle-car: 0.1087
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+ - Iou Vehicle-truck: 0.0003
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+ - Iou Vehicle-bus: 0.0
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+ - Iou Vehicle-tramtrain: 0.0
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+ - Iou Vehicle-motorcycle: 0.0004
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+ - Iou Vehicle-bicycle: 0.0085
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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: 0.0413
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+ - Iou Construction-door: 0.0067
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+ - Iou Construction-wall: 0.0002
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+ - Iou Construction-fenceguardrail: 0.0000
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+ - Iou Construction-bridge: 0.0
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+ - Iou Construction-tunnel: 0.0
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+ - Iou Construction-stairs: 0.0021
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+ - Iou Object-pole: 0.0036
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+ - Iou Object-trafficsign: 0.0
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+ - Iou Object-trafficlight: 0.0001
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+ - Iou Nature-vegetation: 0.0663
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+ - Iou Nature-terrain: 0.0009
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+ - Iou Sky: 0.0038
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+ - Iou Void-ground: 0.0049
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+ - Iou Void-dynamic: 0.0000
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+ - Iou Void-static: 0.0046
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+ - Iou Void-unclear: 0.0
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95
  ## Model description
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