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## Preprocessing Pipeline
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- The original dataset contained approximately 23,000 face images.
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- A total of 12,000 images were selected **sequentially** (not randomly) to ensure determinism and avoid duplicates.
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- Each image underwent the following processing steps:
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- Face region was detected and cropped using a custom ONNX-based face detection model.
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- Images were resized to 128×128 pixels using bilinear interpolation.
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- Each output image was renamed in sequential order as `1.jpg`, `2.jpg`, ..., `12000.jpg`.
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## Usage Example
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## Usage Example
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