Image Classification
ONNX

Introduction

This repository stores the model for Mobilenet-v2, compatible with Kalray's neural network API.
Please see www.github.com/kalray/kann-models-zoo for details and proper usage.
Please see https://huggingface.co/docs/transformers/main/en/model_doc/mobilenet_v2 for Mobilenet-v2 model description.

Contents

  • ONNX: mobilenetv2.onnx
  • Quantized ONNX (INT8): mobilenetv2-q.onnx

Lecture note reference

Repository or links references

BibTeX entry and citation info

@article{DBLP:journals/corr/abs-1801-04381,
  author       = {Mark Sandler and
                  Andrew G. Howard and
                  Menglong Zhu and
                  Andrey Zhmoginov and
                  Liang{-}Chieh Chen},
  title        = {Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification,
                  Detection and Segmentation},
  journal      = {CoRR},
  volume       = {abs/1801.04381},
  year         = {2018},
  url          = {http://arxiv.org/abs/1801.04381},
  eprinttype    = {arXiv},
  eprint       = {1801.04381},
  timestamp    = {Tue, 12 Jan 2021 15:30:06 +0100},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1801-04381.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Authors:

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Dataset used to train Kalray/mobilenet-v2

Collection including Kalray/mobilenet-v2