README.md

---
license: apache-2.0
datasets:
- ILSVRC/imagenet-1k
pipeline_tag: image-classification
---
# Introduction

This repository stores the model for Resnet50v1.5, compatible with Kalray's neural network API. </br>
Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
Please see https://huggingface.co./docs/transformers/main/en/model_doc/resnet for Resnet model description. </br>

# Contents

- ONNX:   resnet50v1.5.onnx
- Quantized ONNX (INT8): resnet50v1.5-q.onnx
- TFLite: resnet50v1.5.tflite

# Lecture note reference

- Deep Residual Learning for Image Recognition, https://arxiv.org/pdf/1512.03385.pdf

# Repository or links references

- [ONNX](https://github.com/onnx/models/blob/main/validated/vision/classification/resnet/README.md)
- [PyTorch | TorchVision](https://pytorch.org/vision/main/models/generated/torchvision.models.resnet50.html#torchvision.models.resnet50)

BibTeX entry and citation info
```
@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}
```

Author: [email protected]