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resnet50
EclipseAidge/resnet50
resnet50 is a image classification model from EclipseAidge. Use it when you need a label for an image.
- Origin: https://github.com/mlcommons/inference/tree/master/vision/classificationanddetection - Note : https://catalog.ngc.nvidia.com/orgs/nvidia/resources/resnet50v15forpytorch
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Public
Updated Oct 28, 2025
Repo size
102 MB
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Repo makeup
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.onnx102 MB · 100%
At a glance
- Task
- Image Classification
- Access
- Public
- Created
- Jan 13, 2025
- Updated
- Oct 28, 2025
- SHA
- daee7a28
Model card
From the Hugging Face model README
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. 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]
- Task
- Image Classification
- Languages
- en
- Created
- Jan 13, 2025
- Updated
- Oct 28, 2025