Instructions to use nomsgadded/Segments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nomsgadded/Segments with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="nomsgadded/Segments")# Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("nomsgadded/Segments") model = SegformerForSemanticSegmentation.from_pretrained("nomsgadded/Segments", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
9e444d1
1
Parent(s): 437fb4d
End of training
Browse files- README.md +78 -1
- all_results.json +42 -42
- eval_results.json +38 -38
- train_results.json +5 -5
- trainer_state.json +21 -15
README.md
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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
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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
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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: 1.0296
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- Mean Iou: 0.1549
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- Mean Accuracy: 0.2005
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- Overall Accuracy: 0.7433
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- Accuracy Unlabeled: nan
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- Accuracy Flat-road: 0.7243
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- Accuracy Flat-sidewalk: 0.9040
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- Accuracy Flat-crosswalk: 0.0017
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- Accuracy Flat-cyclinglane: 0.6786
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- Accuracy Flat-parkingdriveway: 0.1296
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- Accuracy Flat-railtrack: 0.0
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- Accuracy Flat-curb: 0.0053
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- Accuracy Human-person: 0.0
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- Accuracy Human-rider: 0.0
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- Accuracy Vehicle-car: 0.8724
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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: 0.0
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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: 0.9045
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- Accuracy Construction-door: 0.0
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- Accuracy Construction-wall: 0.0126
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- Accuracy Construction-fenceguardrail: 0.0
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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: 0.0128
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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: 0.9126
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- Accuracy Nature-terrain: 0.7863
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- Accuracy Sky: 0.8733
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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: 0.5257
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- Iou Flat-sidewalk: 0.7726
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- Iou Flat-crosswalk: 0.0017
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- Iou Flat-cyclinglane: 0.5195
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- Iou Flat-parkingdriveway: 0.0990
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- Iou Flat-railtrack: 0.0
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- Iou Flat-curb: 0.0051
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- Iou Human-person: 0.0
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- Iou Human-rider: 0.0
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- Iou Vehicle-car: 0.6387
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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: 0.0
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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: 0.5134
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- Iou Construction-door: 0.0
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- Iou Construction-wall: 0.0123
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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: 0.0
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- Iou Construction-stairs: 0.0
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- Iou Object-pole: 0.0125
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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: 0.7452
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- Iou Nature-terrain: 0.6074
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- Iou Sky: 0.8149
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- Iou Void-ground: 0.0
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- 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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all_results.json
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{
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-
"epoch":
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"eval_accuracy_construction-bridge": 0.0,
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-
"eval_accuracy_construction-building": 0.
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"eval_accuracy_construction-door": 0.0,
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"eval_accuracy_construction-fenceguardrail": 0.0,
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"eval_accuracy_construction-stairs": 0.0,
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-
"eval_accuracy_construction-tunnel":
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"eval_accuracy_construction-wall": 0.
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"eval_accuracy_flat-crosswalk": 0.
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-
"eval_accuracy_flat-curb": 0.
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-
"eval_accuracy_flat-cyclinglane": 0.
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-
"eval_accuracy_flat-parkingdriveway": 0.
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-
"eval_accuracy_flat-railtrack":
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-
"eval_accuracy_flat-road": 0.
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-
"eval_accuracy_flat-sidewalk": 0.
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"eval_accuracy_human-person": 0.0,
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"eval_accuracy_human-rider": 0.0,
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-
"eval_accuracy_nature-terrain": 0.
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-
"eval_accuracy_nature-vegetation": 0.
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-
"eval_accuracy_object-pole": 0.
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"eval_accuracy_object-trafficlight": 0.0,
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"eval_accuracy_object-trafficsign": 0.0,
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-
"eval_accuracy_sky": 0.
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"eval_accuracy_unlabeled": NaN,
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"eval_accuracy_vehicle-bicycle": 0.0,
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"eval_accuracy_vehicle-bus": 0.0,
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-
"eval_accuracy_vehicle-car": 0.
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"eval_accuracy_vehicle-caravan": 0.0,
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"eval_accuracy_vehicle-cartrailer": 0.0,
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"eval_accuracy_vehicle-motorcycle": 0.0,
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"eval_accuracy_void-static": 0.0,
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"eval_accuracy_void-unclear": 0.0,
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"eval_iou_construction-bridge": 0.0,
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-
"eval_iou_construction-building": 0.
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"eval_iou_construction-door": 0.0,
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"eval_iou_construction-fenceguardrail": 0.0,
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"eval_iou_construction-stairs": 0.0,
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-
"eval_iou_construction-tunnel":
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-
"eval_iou_construction-wall": 0.
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-
"eval_iou_flat-crosswalk": 0.
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-
"eval_iou_flat-curb": 0.
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-
"eval_iou_flat-cyclinglane": 0.
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-
"eval_iou_flat-parkingdriveway": 0.
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-
"eval_iou_flat-railtrack":
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-
"eval_iou_flat-road": 0.
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-
"eval_iou_flat-sidewalk": 0.
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"eval_iou_human-person": 0.0,
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"eval_iou_human-rider": 0.0,
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-
"eval_iou_nature-terrain": 0.
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-
"eval_iou_nature-vegetation": 0.
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-
"eval_iou_object-pole": 0.
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"eval_iou_object-trafficlight": 0.0,
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"eval_iou_object-trafficsign": 0.0,
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-
"eval_iou_sky": 0.
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"eval_iou_unlabeled": NaN,
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"eval_iou_vehicle-bicycle": 0.0,
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"eval_iou_vehicle-bus": 0.0,
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-
"eval_iou_vehicle-car": 0.
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"eval_iou_vehicle-caravan": 0.0,
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"eval_iou_vehicle-cartrailer": 0.0,
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"eval_iou_vehicle-motorcycle": 0.0,
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"eval_iou_void-ground": 0.0,
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"eval_iou_void-static": 0.0,
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"eval_iou_void-unclear": 0.0,
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-
"eval_loss": 1.
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-
"eval_mean_accuracy": 0.
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-
"eval_mean_iou": 0.
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-
"eval_overall_accuracy": 0.
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"eval_runtime":
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"eval_samples_per_second": 0.
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-
"eval_steps_per_second": 0.
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-
"train_loss": 1.
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-
"train_runtime":
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"train_samples_per_second": 8.
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"train_steps_per_second": 0.
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}
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{
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"epoch": 19.81,
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"eval_accuracy_construction-bridge": 0.0,
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"eval_accuracy_construction-building": 0.9044887536731845,
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"eval_accuracy_construction-door": 0.0,
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"eval_accuracy_construction-fenceguardrail": 0.0,
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"eval_accuracy_construction-stairs": 0.0,
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"eval_accuracy_construction-tunnel": 0.0,
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| 9 |
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"eval_accuracy_construction-wall": 0.012644315517933344,
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| 10 |
+
"eval_accuracy_flat-crosswalk": 0.0016917392801334852,
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| 11 |
+
"eval_accuracy_flat-curb": 0.005295399849281657,
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| 12 |
+
"eval_accuracy_flat-cyclinglane": 0.6785782580676247,
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| 13 |
+
"eval_accuracy_flat-parkingdriveway": 0.12961687224207694,
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+
"eval_accuracy_flat-railtrack": 0.0,
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| 15 |
+
"eval_accuracy_flat-road": 0.7242725691724827,
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"eval_accuracy_flat-sidewalk": 0.9040152266371867,
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"eval_accuracy_human-person": 0.0,
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"eval_accuracy_human-rider": 0.0,
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| 19 |
+
"eval_accuracy_nature-terrain": 0.7862782542660591,
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| 20 |
+
"eval_accuracy_nature-vegetation": 0.912633779572616,
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| 21 |
+
"eval_accuracy_object-pole": 0.01277047233705691,
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"eval_accuracy_object-trafficlight": 0.0,
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"eval_accuracy_object-trafficsign": 0.0,
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+
"eval_accuracy_sky": 0.8732976508675239,
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"eval_accuracy_unlabeled": NaN,
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| 26 |
"eval_accuracy_vehicle-bicycle": 0.0,
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| 27 |
"eval_accuracy_vehicle-bus": 0.0,
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| 28 |
+
"eval_accuracy_vehicle-car": 0.8723701038127525,
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"eval_accuracy_vehicle-caravan": 0.0,
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"eval_accuracy_vehicle-cartrailer": 0.0,
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"eval_accuracy_vehicle-motorcycle": 0.0,
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"eval_accuracy_void-static": 0.0,
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"eval_accuracy_void-unclear": 0.0,
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"eval_iou_construction-bridge": 0.0,
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+
"eval_iou_construction-building": 0.5134214841038789,
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"eval_iou_construction-door": 0.0,
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"eval_iou_construction-fenceguardrail": 0.0,
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"eval_iou_construction-stairs": 0.0,
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+
"eval_iou_construction-tunnel": 0.0,
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"eval_iou_construction-wall": 0.01234991993883216,
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| 45 |
+
"eval_iou_flat-crosswalk": 0.0016917392801334852,
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+
"eval_iou_flat-curb": 0.005126535607261088,
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| 47 |
+
"eval_iou_flat-cyclinglane": 0.519461287494878,
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| 48 |
+
"eval_iou_flat-parkingdriveway": 0.0989592334643363,
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| 49 |
+
"eval_iou_flat-railtrack": 0.0,
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| 50 |
+
"eval_iou_flat-road": 0.5256625495820682,
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"eval_iou_flat-sidewalk": 0.7726185095667036,
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"eval_iou_human-person": 0.0,
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"eval_iou_human-rider": 0.0,
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+
"eval_iou_nature-terrain": 0.6074183317764243,
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| 55 |
+
"eval_iou_nature-vegetation": 0.7451813611372564,
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+
"eval_iou_object-pole": 0.01252838166530938,
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"eval_iou_object-trafficlight": 0.0,
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"eval_iou_object-trafficsign": 0.0,
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+
"eval_iou_sky": 0.8148544282354571,
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"eval_iou_unlabeled": NaN,
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"eval_iou_vehicle-bicycle": 0.0,
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"eval_iou_vehicle-bus": 0.0,
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+
"eval_iou_vehicle-car": 0.6387074772474837,
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"eval_iou_vehicle-caravan": 0.0,
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"eval_iou_vehicle-cartrailer": 0.0,
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"eval_iou_vehicle-motorcycle": 0.0,
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"eval_iou_void-ground": 0.0,
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"eval_iou_void-static": 0.0,
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"eval_iou_void-unclear": 0.0,
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+
"eval_loss": 1.029601812362671,
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"eval_mean_accuracy": 0.20052804103811508,
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"eval_mean_iou": 0.15494062467941241,
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"eval_overall_accuracy": 0.7432819041476271,
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"eval_runtime": 166.5888,
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"eval_samples_per_second": 0.9,
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"eval_steps_per_second": 0.114,
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"train_loss": 1.3936616789619878,
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"train_runtime": 1998.0806,
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"train_samples_per_second": 8.508,
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"train_steps_per_second": 0.531
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}
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eval_results.json
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{
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"epoch":
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"eval_accuracy_construction-bridge": 0.0,
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"eval_accuracy_construction-building": 0.
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"eval_accuracy_construction-door": 0.0,
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"eval_accuracy_construction-fenceguardrail": 0.0,
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"eval_accuracy_construction-stairs": 0.0,
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-
"eval_accuracy_construction-tunnel":
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-
"eval_accuracy_construction-wall": 0.
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"eval_accuracy_flat-crosswalk": 0.
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"eval_accuracy_flat-curb": 0.
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"eval_accuracy_flat-cyclinglane": 0.
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"eval_accuracy_flat-parkingdriveway": 0.
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"eval_accuracy_flat-railtrack":
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"eval_accuracy_flat-road": 0.
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"eval_accuracy_flat-sidewalk": 0.
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"eval_accuracy_human-person": 0.0,
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"eval_accuracy_human-rider": 0.0,
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"eval_accuracy_nature-terrain": 0.
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"eval_accuracy_nature-vegetation": 0.
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"eval_accuracy_object-pole": 0.
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"eval_accuracy_object-trafficlight": 0.0,
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"eval_accuracy_object-trafficsign": 0.0,
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"eval_accuracy_sky": 0.
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"eval_accuracy_unlabeled": NaN,
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"eval_accuracy_vehicle-bicycle": 0.0,
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"eval_accuracy_vehicle-bus": 0.0,
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-
"eval_accuracy_vehicle-car": 0.
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"eval_accuracy_vehicle-caravan": 0.0,
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"eval_accuracy_vehicle-cartrailer": 0.0,
|
| 31 |
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|
@@ -36,31 +36,31 @@
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| 36 |
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@@ -70,11 +70,11 @@
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train_results.json
CHANGED
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trainer_state.json
CHANGED
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