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  1. README.md +2 -79
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@@ -3,8 +3,6 @@ library_name: transformers
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  license: apache-2.0
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  base_model: microsoft/beit-base-finetuned-ade-640-640
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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-sidewalk-10k-steps
@@ -16,82 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # segformer-finetuned-sidewalk-10k-steps
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- This model is a fine-tuned version of [microsoft/beit-base-finetuned-ade-640-640](https://huggingface.co/microsoft/beit-base-finetuned-ade-640-640) on the segments/sidewalk-semantic dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 3.7016
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- - Mean Iou: 0.0657
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- - Mean Accuracy: 0.1096
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- - Overall Accuracy: 0.5747
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- - Accuracy Unlabeled: nan
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- - Accuracy Flat-road: 0.0688
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- - Accuracy Flat-sidewalk: 0.9323
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- - Accuracy Flat-crosswalk: 0.0208
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- - Accuracy Flat-cyclinglane: 0.1128
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- - Accuracy Flat-parkingdriveway: 0.0001
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- - Accuracy Flat-railtrack: nan
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- - Accuracy Flat-curb: 0.0000
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- - Accuracy Human-person: 0.0036
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- - Accuracy Human-rider: 0.0
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- - Accuracy Vehicle-car: 0.0119
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- - Accuracy Vehicle-truck: 0.0031
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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: 0.0041
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- - Accuracy Vehicle-caravan: nan
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- - Accuracy Vehicle-cartrailer: 0.0
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- - Accuracy Construction-building: 0.8154
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- - Accuracy Construction-door: 0.0
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- - Accuracy Construction-wall: 0.0063
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- - Accuracy Construction-fenceguardrail: 0.0003
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- - Accuracy Construction-bridge: 0.0
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- - Accuracy Construction-tunnel: 0.0
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- - Accuracy Construction-stairs: 0.0
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- - Accuracy Object-pole: 0.0000
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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: 0.8720
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- - Accuracy Nature-terrain: 0.4628
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- - Accuracy Sky: 0.0239
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- - Accuracy Void-ground: 0.0
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- - Accuracy Void-dynamic: 0.0044
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- - Accuracy Void-static: 0.0087
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- - Accuracy Void-unclear: 0.0448
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- - Iou Unlabeled: 0.0
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- - Iou Flat-road: 0.0678
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- - Iou Flat-sidewalk: 0.7148
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- - Iou Flat-crosswalk: 0.0018
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- - Iou Flat-cyclinglane: 0.0571
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- - Iou Flat-parkingdriveway: 0.0001
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- - Iou Flat-railtrack: 0.0
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- - Iou Flat-curb: 0.0000
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- - Iou Human-person: 0.0017
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- - Iou Human-rider: 0.0
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- - Iou Vehicle-car: 0.0117
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- - Iou Vehicle-truck: 0.0002
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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: 0.0
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- - Iou Vehicle-bicycle: 0.0010
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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: 0.4872
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- - Iou Construction-door: 0.0
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- - Iou Construction-wall: 0.0048
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- - Iou Construction-fenceguardrail: 0.0003
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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: 0.0
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- - Iou Object-pole: 0.0000
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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: 0.5625
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- - Iou Nature-terrain: 0.3569
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- - Iou Sky: 0.0239
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- - Iou Void-ground: 0.0
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- - Iou Void-dynamic: 0.0028
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- - Iou Void-static: 0.0055
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- - Iou Void-unclear: 0.0001
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  ## Model description
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@@ -122,7 +45,7 @@ The following hyperparameters were used during training:
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  | 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 Void-dynamic | Iou Void-static | Iou Void-unclear |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:------------------:|:----------------------:|:-----------------------:|:-------------------------:|:-----------------------------:|:-----------------------:|:------------------:|:---------------------:|:--------------------:|:--------------------:|:----------------------:|:--------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------:|:---------------------------:|:------------------------------:|:--------------------------:|:--------------------------:|:------------------------------------:|:----------------------------:|:----------------------------:|:----------------------------:|:--------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-----------------------:|:------------:|:--------------------:|:---------------------:|:--------------------:|:---------------------:|:-------------:|:-------------:|:-----------------:|:------------------:|:--------------------:|:------------------------:|:------------------:|:-------------:|:----------------:|:---------------:|:---------------:|:-----------------:|:---------------:|:---------------------:|:----------------------:|:-------------------:|:-------------------:|:----------------------:|:-------------------------:|:---------------------:|:---------------------:|:-------------------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:---------------:|:----------------------:|:-----------------------:|:---------------------:|:------------------:|:-------:|:---------------:|:----------------:|:---------------:|:----------------:|
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- | No log | 0.0235 | 10 | 3.7016 | 0.0657 | 0.1096 | 0.5747 | nan | 0.0688 | 0.9323 | 0.0208 | 0.1128 | 0.0001 | nan | 0.0000 | 0.0036 | 0.0 | 0.0119 | 0.0031 | 0.0 | nan | 0.0 | 0.0041 | nan | 0.0 | 0.8154 | 0.0 | 0.0063 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.8720 | 0.4628 | 0.0239 | 0.0 | 0.0044 | 0.0087 | 0.0448 | 0.0 | 0.0678 | 0.7148 | 0.0018 | 0.0571 | 0.0001 | 0.0 | 0.0000 | 0.0017 | 0.0 | 0.0117 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.0010 | 0.0 | 0.0 | 0.4872 | 0.0 | 0.0048 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0000 | 0.0 | 0.0 | 0.5625 | 0.3569 | 0.0239 | 0.0 | 0.0028 | 0.0055 | 0.0001 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: microsoft/beit-base-finetuned-ade-640-640
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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-sidewalk-10k-steps
 
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  # segformer-finetuned-sidewalk-10k-steps
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+ This model is a fine-tuned version of [microsoft/beit-base-finetuned-ade-640-640](https://huggingface.co/microsoft/beit-base-finetuned-ade-640-640) on an unknown dataset.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Model description
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  | 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 Void-dynamic | Iou Void-static | Iou Void-unclear |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:------------------:|:----------------------:|:-----------------------:|:-------------------------:|:-----------------------------:|:-----------------------:|:------------------:|:---------------------:|:--------------------:|:--------------------:|:----------------------:|:--------------------:|:--------------------------:|:---------------------------:|:------------------------:|:------------------------:|:---------------------------:|:------------------------------:|:--------------------------:|:--------------------------:|:------------------------------------:|:----------------------------:|:----------------------------:|:----------------------------:|:--------------------:|:---------------------------:|:----------------------------:|:--------------------------:|:-----------------------:|:------------:|:--------------------:|:---------------------:|:--------------------:|:---------------------:|:-------------:|:-------------:|:-----------------:|:------------------:|:--------------------:|:------------------------:|:------------------:|:-------------:|:----------------:|:---------------:|:---------------:|:-----------------:|:---------------:|:---------------------:|:----------------------:|:-------------------:|:-------------------:|:----------------------:|:-------------------------:|:---------------------:|:---------------------:|:-------------------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:---------------:|:----------------------:|:-----------------------:|:---------------------:|:------------------:|:-------:|:---------------:|:----------------:|:---------------:|:----------------:|
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+ | No log | 0.0235 | 10 | 3.7903 | 0.0583 | 0.1188 | 0.5138 | nan | 0.3738 | 0.8070 | 0.2760 | 0.0412 | 0.0002 | nan | 0.0013 | 0.0073 | 0.0 | 0.9825 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0098 | 0.1165 | 0.0000 | 0.0 | 0.0 | nan | 0.0659 | 0.0438 | 0.0 | 0.0 | 0.9260 | 0.0287 | 0.0 | 0.0 | 0.0 | 0.0036 | 0.0 | 0.0 | 0.2457 | 0.6862 | 0.0806 | 0.0394 | 0.0001 | 0.0 | 0.0013 | 0.0044 | 0.0 | 0.3160 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0096 | 0.0317 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0103 | 0.0226 | 0.0 | 0.0 | 0.5656 | 0.0255 | 0.0 | 0.0 | 0.0 | 0.0031 | 0.0 |
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  ### Framework versions