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Hasano20
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segformer_clean-set1_mit-b5_rgb

Image Segmentation
Transformers
Safetensors
segformer
vision
Generated from Trainer
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  - image-segmentation
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  - generated_from_trainer
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  model-index:
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- - name: SegFormer_Clean_Set1_95images_mit-b5_Grayscale
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  results: []
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  ---
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@@ -17,7 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on the Hasano20/Clean_Set1_95images dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0229
 
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  - Mean Iou: 0.9729
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  - Mean Accuracy: 0.9859
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  - Overall Accuracy: 0.9928
 
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  - image-segmentation
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  - generated_from_trainer
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  model-index:
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+ - name: SegFormer_Clean_Set1_95images_mit-b5
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  results: []
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  ---
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  This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on the Hasano20/Clean_Set1_95images dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0103
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+ - Val Loss: 0.0229
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  - Mean Iou: 0.9729
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  - Mean Accuracy: 0.9859
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  - Overall Accuracy: 0.9928