Image Classification
ONNX
resnet18 / README.md
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---
license: apache-2.0
datasets:
- ILSVRC/imagenet-1k
pipeline_tag: image-classification
---
# Introduction
This repository stores the model for Resnet18, 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: resnet18.onnx
- Quantized ONNX (INT8): resnet18-q.onnx
# 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/stable/models/generated/torchvision.models.resnet18.html#torchvision.models.resnet18)
BibTeX entry and citation info
```
@article{DBLP:journals/corr/HeZRS15,
author = {Kaiming He and
Xiangyu Zhang and
Shaoqing Ren and
Jian Sun},
title = {Deep Residual Learning for Image Recognition},
journal = {CoRR},
volume = {abs/1512.03385},
year = {2015},
url = {http://arxiv.org/abs/1512.03385},
eprinttype = {arXiv},
eprint = {1512.03385},
timestamp = {Wed, 25 Jan 2023 11:01:16 +0100},
biburl = {https://dblp.org/rec/journals/corr/HeZRS15.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
Authors:
+ qmuller@kalrayinc.com
+ nbouberbachene@kalrayinc.com