Update README.md

README.md

@@ -1,3 +1,52 @@
----
-license: mit
----
+---
+license: mit
+datasets:
+- ILSVRC/imagenet-1k
+pipeline_tag: image-classification
+---
+
+# Introduction
+
+This repository stores the model for Mobilenet-v1, 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/mobilenet_v1 for Mobilenet-v1 model description. </br>
+
+# Contents
+
+- Tensorflow:   mobilenet-v1-mlperf.pb
+
+# Lecture note reference
+
+- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications, https://arxiv.org/pdf/1704.04861.pdf
+
+# Repository or links references
+
+- https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.py
+- http://download.tensorflow.org/models/mobilenet_v1_2018_02_22/mobilenet_v1_1.0_224.tgz
+
+BibTeX entry and citation info
+```
+@article{DBLP:journals/corr/HowardZCKWWAA17,
+  author       = {Andrew G. Howard and
+                  Menglong Zhu and
+                  Bo Chen and
+                  Dmitry Kalenichenko and
+                  Weijun Wang and
+                  Tobias Weyand and
+                  Marco Andreetto and
+                  Hartwig Adam},
+  title        = {MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
+                  Applications},
+  journal      = {CoRR},
+  volume       = {abs/1704.04861},
+  year         = {2017},
+  url          = {http://arxiv.org/abs/1704.04861},
+  eprinttype    = {arXiv},
+  eprint       = {1704.04861},
+  timestamp    = {Thu, 27 May 2021 16:20:51 +0200},
+  biburl       = {https://dblp.org/rec/journals/corr/HowardZCKWWAA17.bib},
+  bibsource    = {dblp computer science bibliography, https://dblp.org}
+}
+```
+
+Author: nbouberbachene@kalrayinc.com