ResNet34 is a state-of-the-art image classification model, structured as a 34 layer convolutional neural network and introduced by He et al. in their groundbreaking paper in late 2015.
| Model | Download | Top-1 accuracy (%) | Top-5 accuracy (%) |
|---|---|---|---|
| ResNet34 | 84 MB | 75.112 | 92.284 |
- ResNet34 model is from the paper titled Deep Residual Learning for Image Recognition.
- This onnx model is converted from a pytorch model, which is pretrained on ImageNet by ©RossWightman with the code in his repository.
Apache 2.0