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@@ -49,7 +49,7 @@ The task is to predict whether a food image belongs to **Asian** or **Western**
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  ## Training Setup
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  - **AutoML framework:** AutoGluon Multimodal (`MultiModalPredictor`)
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  - **Evaluation metric:** Accuracy
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- - **Budget:** ~600 seconds (10 minutes) for quick runs; longer (~1800s) for full run and more accuracy.
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  - **Hardware:** Google Colab (GPU, typical environment)
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  - **Search Space:**
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  - Backbones: `resnet18`, `mobilenetv3_small_100`, `efficientnet_b0`
 
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  ## Training Setup
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  - **AutoML framework:** AutoGluon Multimodal (`MultiModalPredictor`)
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  - **Evaluation metric:** Accuracy
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+ - **Budget:** 600 seconds (10 minutes) for quick runs; longer (~1800s) for full run and more accuracy.
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  - **Hardware:** Google Colab (GPU, typical environment)
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  - **Search Space:**
55
  - Backbones: `resnet18`, `mobilenetv3_small_100`, `efficientnet_b0`