Rethinking the Inception Architecture for Computer Vision
Paper
•
1512.00567
•
Published
Inception v2
| Model | Download | Download (with sample test data) | ONNX version | Opset version |
|---|---|---|---|---|
| Inception-2 | 44 MB | 44 MB | 1.1 | 3 |
| Inception-2 | 44 MB | 44 MB | 1.1.2 | 6 |
| Inception-2 | 44 MB | 44 MB | 1.2 | 7 |
| Inception-2 | 44 MB | 44 MB | 1.3 | 8 |
| Inception-2 | 44 MB | 44 MB | 1.4 | 9 |
Description
Inception v2 is a deep convolutional networks for classification.
Paper
Rethinking the Inception Architecture for Computer Vision
Dataset
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
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