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Nov 11, 2022
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Update README.md #2

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elboyran Nov 11, 2022
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Update vision/classification/leafsnap30/README.md
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7 changes: 2 additions & 5 deletions vision/classification/leafsnap30/README.md
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Expand Up @@ -8,13 +8,10 @@ LeafSnap30 is a Neural Network model trained on the [LeafSnap 30 dataset](https:
|Model |Download | Download (with sample test data)|ONNX version|Opset version|Accuracy |
|-------------|:--------------|:--------------|:--------------|:--------------|:--------------|
|Model Name | Relative link to ONNX Model with size | tar file containing ONNX model and synthetic test data (in .pb format)|ONNX version used for conversion| Opset version used for conversion|Accuracy values |
|Example (VGG 19)| [548.1 MB](classification/vgg/model/vgg19-7.onnx) |[508.5 MB](classification/vgg/model/vgg19-7.tar.gz)| 1.2.1 |7 | 73.72 |

Please submit new models with Git LFS by committing directly to the repository, and using relative links (i.e. ***model/vgg19-7.onnx***) in the table above. In this file name example, ***vgg19*** is the name of the model and ***7*** is the opset number.
|LeafSnap30| [1.48 MB](model/leafsnap_model.onnx) |N/A | 1.9.0 |11 | train: 87%, test: 74% |

### Source
Source Framework ==> ONNX model
i.e. Caffe2 DenseNet-121 ==> ONNX DenseNet
Pytorch LeafSnap30 ==> ONNX LeafSnap30

## Inference
Step by step instructions on how to use the pretrained model and link to an example notebook/code. This section should ideally contain:
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