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Inception v2

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Model size: 45 MB

Description

Inception v2 is a deep convolutional networks for classification.

Paper

Rethinking the Inception Architecture for Computer Vision

Dataset

ILSVRC2012

Source

Caffe2 Inception v2 ==> ONNX Inception v2

Model input and output

Input

data_0: float[1, 3, 224, 224]

Output

prob_1: float[1, 1000]

Pre-processing steps

Post-processing steps

Sample test data

random generated sampe test data:

  • test_data_0.npz
  • test_data_1.npz
  • test_data_2.npz
  • test_data_set_0
  • test_data_set_1
  • test_data_set_2

Results/accuracy on test set

License

MIT