Image Classification
TF Lite
ONNX
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---
license: mit
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
- TFLite: resnet50v1.5.tflite

# Lecture note reference

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

# Repository or links references

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: qmuller@kalrayinc.com