Notebooks Classificador
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@@ -14,7 +14,7 @@
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"\n",
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"Face crops are generated offline with `classifier/tools/facecrop.py`, producing `cropped/classifier/`. Training configs then choose either raw `data/` or the cropped directory through `data_dir`; face cropping is not hidden inside the transform pipeline.\n",
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"\n",
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"Roadmap link: this notebook implements the defenses motivated by `01_eda`; `03_phase1_analysis` then asks which baseline model benefits under that fixed protocol.\n"
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"Roadmap link: this notebook implements the defenses motivated by `01_eda`; `03_baselines` then asks which baseline model benefits under that fixed protocol.\n"
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]
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},
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{
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@@ -716,7 +716,7 @@
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"- augmentation is train-only and can either improve robustness or over-regularize;\n",
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"- normalization is tested as a color-shortcut diagnostic, while ImageNet/default normalization remains the standard pretrained-model default.\n",
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"\n",
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"Next: `03_phase1_analysis.ipynb` uses this fixed protocol to compare SimpleCNN and pretrained ResNet18 baselines.\n"
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"Next: `03_baselines.ipynb` uses this fixed protocol to compare SimpleCNN and pretrained ResNet18 baselines.\n"
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]
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}
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],
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