The kaggle-dogs-vs-cats-caffe from mrgloom

kaggle-dogs-vs-cats-caffe's Introduction

Solutions for https://www.kaggle.com/c/dogs-vs-cats and https://www.kaggle.com/c/dogs-vs-cats-redux-kernels-edition competition using NVIDIA DIGITS with Caffe backend.

Name	Acc. test	finetuned Acc. test.	Train time	Forward pass time	On disk model size	Year	Paper
AlexNet	93.65%	97.98%	35m	3.01 ms	227.5Mb	2012	link
SqeezeNet v1.1	92.46%	98.87%	~2h	3.91 ms	2.9Mb	2016	link
GoogLeNet	94.62%	99.58%	50m	11.73 ms	41.3Mb	2014	link
VGG-16	96.51%	99.40%	5h20m	15.41 ms	537.1Mb	2014	link
VGG-19	97.42%	99.48%	25h50m	19.23 ms	558.3Mb	2014	link
Network-In-Network	93.65%	98.49%	~2h	3.17 ms	26.3Mb	2014	link
ResNet-50	95.84%	99.52%	18h	24.91 ms	94.3Mb	2015	link
ResNet-101	96.39%	99.48%	1d 20h	40.95 ms	170.5Mb	2015	link

Test accuracy was measured on train-test split 80%-20%.

learning_from_scratch - is folder with models which were trained from scratch.

finetuning - is folder with models which were finetuned from models trained on ImageNet.

demo - is small trained models.

Tested on system with following configuration:

Ubuntu version:

`lsb_release -a`

Ubuntu 14.04.4 LTS

`uname -a`

Linux myuser-computer 3.19.0-61-generic #69~14.04.1-Ubuntu SMP Thu Jun 9 09:09:13 UTC 2016 x86_64 x86_64 x86_64 GNU/Linux

gcc version:

`gcc --version`

gcc (Ubuntu 4.8.4-2ubuntu1~14.04.3) 4.8.4

DIGITS version:

`./digits-devserver --version`

4.1-dev

Caffe version:

`git status`

branch caffe-0.15

`git log -n 1`

commit e638c0b1cb19afff50d830ce87cc1898f18568fd
Author: Sergei Nikolaev <[email protected]>
Date:   Wed Aug 31 14:32:28 2016 -0700
Mark 0.15.13

CPU:

`cat /proc/cpuinfo | grep "model name"`

Intel(R) Core(TM)2 Duo CPU     E8500  @ 3.16GHz

GPU:

`nvidia-smi`

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 367.44                 Driver Version: 367.44                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 1070    On   | 0000:01:00.0      On |                  N/A |
| 27%   38C    P8    10W / 151W |    150MiB /  8108MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

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