HW2 β€” Image AutoML

Description

Trained with AutoGluon on an augmented image split (train/test) and validated on the original split. Backbone: timm/resnet18.

  • Problem Type: image-classification
  • Preset: medium_quality

Data

  • Train samples: 256
  • Test samples: 64
  • External (original) samples: 40
  • Dataset: cassieli226/2025-24679-image-dataset

Results

  • Test (accuracy / f1_weighted): 1.0000 / 1.0000
  • Original (accuracy / f1_weighted): 1.0000 / 1.0000
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Dataset used to train Anyuhhh/hw2-image-automl