Model zoo performances

This page lets you discover all of Akida model zoo machine learning models with their respective performances.

Note

The download links provided point towards standard Tensorflow Keras models that must be converted to Akida model using cnn2snn.convert.

image_icon_ref Image domain

Classification

Architecture

Resolution

Dataset

Quantization

Top-1 accuracy

Example

Size (KB)

NPs

Download

AkidaNet 0.25

160

ImageNet

8/4/4

42.58%

an_ex

392.3

23

an_160_25_dl

AkidaNet 0.5

160

ImageNet

8/4/4

57.80%

an_ex

1099.4

30

an_160_50_dl

AkidaNet

160

ImageNet

8/4/4

66.94%

an_ex

4090.2

81

an_160_dl

AkidaNet 0.25

224

ImageNet

8/4/4

46.71%

an_ex

398.1

25

an_224_25_dl

AkidaNet 0.5

224

ImageNet

8/4/4

61.30%

an_ex

1214.4

38

an_224_50_dl

AkidaNet

224

ImageNet

8/4/4

69.65%

an_ex

6322.6

129

an_224_dl

AkidaNet 0.5 edge

160

ImageNet

8/4/4

51.66%

ane_ex

2017.1

38

ane_160_dl

AkidaNet 0.5 edge

224

ImageNet

8/4/4

54.03%

ane_ex

2130.1

46

ane_224_dl

AkidaNet 0.5

160

Cats vs dogs

8/4/4

96.60%

698.4

24

an_cvd_dl

AkidaNet 0.25

224

Imagenette

8/4/4

91.54%

203.9

22

an_ite_25_dl

AkidaNet 0.5

224

Imagenette

8/4/4

95.67%

815.5

32

an_ite_50_dl

AkidaNet

224

Imagenette

8/4/4

97.58%

5544.2

116

an_ite_dl

AkidaNet 0.5

224

SIIM-ISIC Melanoma Classification

8/4/4

98.31% - AUROC 0.7969

811.4

32

an_mel_del

AkidaNet 0.5

224

ODIR-5K Ocular disease recognition

8/4/4

92.42% - AUROC 0.9847

811.4

32

an_odir_dl

AkidaNet 0.5

224

Retinal OCT ocular disease recognition

8/4/4

81.10% - AUROC 0.9662

811.4

32

an_oct_dl

AkidaNet 0.5

224

PlantVillage

8/4/4

97.92%

an_pv_ex

1018.8

33

an_pv_dl

AkidaNet 0.5

224

CIFAR10

8/4/4

92.89%

829.3

33

an_c10_dl

AkidaNet 0.25

96

Visual Wake Words

8/4/4

82.75%

227.7

17

vww_dl

MobileNetV1 0.25

160

ImageNet

8/4/4

40.86%

365.4

23

mb_160_25_dl

MobileNetV1 0.5

160

ImageNet

8/4/4

55.94%

1017.1

30

mb_160_50_dl

MobileNetV1

160

ImageNet

8/4/4

66.40%

3554.5

78

mb_160_dl

MobileNetV1 0.25

224

ImageNet

8/4/4

45.12%

366.9

25

mb_224_25_dl

MobileNetV1 0.5

224

ImageNet

8/4/4

59.76%

1075.4

38

mb_224_50_dl

MobileNetV1

224

ImageNet

8/4/4

69.53%

5251.8

123

mb_224_dl

MobileNetV1 0.5 edge

160

ImageNet

8/4/4

49.69%

1935.1

38

mbe_160_dl

MobileNetV1 0.5 edge

224

ImageNet

8/4/4

51.83%

1993.4

46

mbe_224_dl

VGG11

224

ImageNet

8/4/4

52.22%

34825.2

21

vgg11_dl

GXNOR

28

MNIST

2/2/1

99.20%

gx_ex

412.6

3

gx_dl

Object detection

Architecture

Resolution

Dataset

Quantization

mAP

Example

Size (KB)

NPs

Download

YOLOv2

224

PASCAL-VOC 2007 - person and car classes

8/4/4

38.85%

yl_voc_ex

3061.0

71

yl_voc_dl

YOLOv2

224

WIDER FACE

8/4/4

73.81%

3052.7

71

yl_wf_dl

Regression

Architecture

Resolution

Dataset

Quantization

MAE

Example

Size (KB)

NPs

Download

VGG-like

32

UTKFace (age estimation)

8/2/2

6.1791

reg_ex

139.8

6

reg_dl

Face recognition

Architecture

Resolution

Dataset

Quantization

Accuracy

Size (KB)

NPs

Download

AkidaNet 0.5

112x96

CASIA Webface face identification

8/4/4

70.18%

1929.8

21

fid_dl

AkidaNet 0.5 edge

112x96

CASIA Webface face identification

8/4/4

71.13%

6979.6

35

fide_dl

AkidaNet 0.5

112x96

LFW face verification

8/4/4

97.25%

691.2

20

fver_dl

audio_icon_ref Audio domain

Keyword spotting

Architecture

Dataset

Quantization

Top-1 accuracy

Example

Size (KB)

NPs

Download

DS-CNN

Google speech command

8/4/4

91.34%

kws_ex

22.8

5

kws_dl

time_icon_ref Time domain

Fault detection

Architecture

Dataset

Quantization

Accuracy

Size (KB)

NPs

Download

Convtiny

CWRU Electric Motor Ball Bearing Fault Diagnosis

8/2/4

99.3%

25.3

3

cwru_dl

Classification

Architecture

Resolution

Dataset

Quantization

Accuracy

Size (KB)

NPs

Download

AkidaNet 0.5

224

Physionet2017 ECG classification

8/4/4

73.50% - AUROC 0.7940

1008.4

36

ecg_dl

pointcloud_icon_ref Point cloud

Classification

Architecture

Dataset

Quantization

Accuracy

Input scaling

Size (KB)

NPs

Download

PointNet++

ModelNet40 3D Point Cloud

8/4/4

84.76%

(127, 127)

528.5

17

p++_dl