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<!DOCTYPE html> |
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<html> |
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<head> |
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<meta charset="utf-8" /> |
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<meta name="viewport" content="width=device-width" /> |
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<title>My static Space</title> |
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<link rel="stylesheet" href="style.css" /> |
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</head> |
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<body> |
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<div class="container"> |
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<div> |
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<h1>MLTest</h1> |
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<p> |
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This is a demo of MLTest on the dataset |
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<a href="https://huggingface.co/datasets/marmal88/skin_cancer"><code>marmal88/skin_cancer</code></a>. |
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</p> |
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<p> |
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The model has been trained on five models: two variants of Swin Transformers, ViT, ResNet, and BEiT. The test results for each model can |
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be inspected in the dashboard below. |
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</p> |
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<p> |
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<b>Performance tests</b>: TODO |
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</p> |
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<p> |
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<b>Failure clusters</b>: TODO |
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</p> |
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<p> |
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<b>Robustness</b>: TODO |
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The following robustness tests were enabled: |
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- kind: Brightness |
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- kind: CompressImage |
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- kind: Contrast |
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- kind: DarkSpots |
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- kind: GaussianBlur |
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- kind: GaussianNoise |
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- kind: Glare |
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- kind: GlassBlur |
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- kind: HorizontalFlip |
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- kind: MedianBlur |
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- kind: MotionBlur |
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- kind: OilSpots |
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- kind: Perspective |
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- kind: VerticalFlip |
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The full list of transforms supported by MLTest can be found in the <a href="https://docs.lakera.ai/configuration/robustness">documentation</a>. |
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</p> |
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<p> |
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<b>Fairness tests</b>: TODO |
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</p> |
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</div> |
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<iframe src="https://hf.lakera.ai/search"></iframe> |
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</div> |
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</body> |
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</html> |
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