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ShuffleNetV1

Model Download Download (with sample test data) ONNX version Opset version
ShuffleNetv1 5.3 MB 7 MB 1.1 3
ShuffleNetv1 5.3 MB 9 MB 1.1.2 6
ShuffleNetv1 5.3 MB 9 MB 1.2 7
ShuffleNetv1 5.3 MB 9 MB 1.3 8
ShuffleNetv1 5.3 MB 9 MB 1.4 9

Description

ShuffleNet is a deep convolutional networks for classification.

Paper

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Dataset

ILSVRC2012

Source

Caffe2 ShuffleNet ==> ONNX ShuffleNet

Model input and output

Input

gpu_0/data_0: float[1, 3, 224, 224]

Output

gpu_0/softmax_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