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Classification of Tiny-Imagenet-200 dataset without any pretrained weights

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Tiny-imagenet-200

Classification of Tiny-Imagenet-200 dataset without any pretrained weights

Architecture Used

Densenet-201 with a shallow network with following layers:

  • GlobalAveragePooling2D()
  • Dropout(0.4)
  • Softmax layer of 200 units.

Accuracy

  • Top-1 : 31.69%
  • Top-5 : 57.58%

Error

  • Top-1 :2.99
  • Top-5 :2.99

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Classification of Tiny-Imagenet-200 dataset without any pretrained weights

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