---
language:
- en
metrics:
- accuracy
pipeline_tag: image-classification
tags:
- arxiv:1512.03385
---

# Resnet50-v1.5

- Origin: https://github.com/mlcommons/inference/tree/master/vision/classification_and_detection
- Note : https://catalog.ngc.nvidia.com/orgs/nvidia/resources/resnet_50_v1_5_for_pytorch

## Model

- ONNX attributes:
  - opset : 11
  - Operators: 233 (11 types)
    - Add: 17
    - ArgMax: 1
    - Conv2D: 36
    - MatMul: 1
    - PaddedConv2D: 17
    - PaddedMaxPooling2D: 1
    - Producer: 108
    - ReLU: 49
    - ReduceMean: 1
    - Softmax: 1
    - Squeeze: 1

## Aidge support

> Note: We tested this network for the following features. If you encounter any error please open an [issue](https://gitlab.eclipse.org/groups/eclipse/aidge/-/issues). Features not tested in CI may not be functional.

|   Feature   | Tested in CI |
| :---------: | :----------: |
| ONNX import |      ✔       |
| Backend CPU |      ✔       |

## ImageNet1k
- Input:
  - size: \[N, 3, 224, 224\]
  - format : NCHW
- Output
  - size: [N, 1000]