metadata
tags:
- onnx
- image-classification
- cifar10
- dropout
- aidge
pipeline_tag: image-classification
datasets:
- cifar10
metrics:
- accuracy
model-index:
- name: Custom ResNet-18 with integrated Dropout layers
results:
- task:
type: image-classification
name: Image Classification
dataset:
name: CIFAR-10
type: cifar10
metrics:
- type: accuracy
value: 83.96%
language:
- en
base_model:
- resnet-18
Custom ResNet-18 with integrated Dropout Layers
This is a custom ResNet-18 ONNX model implemented in PyTorch with integrated Dropout layers.
It was trained on the CIFAR-10 dataset for image classification tasks.
The model has been exported using opset version 15 and is fully compatible with the Aidge platform.