MJRoBot (Marcelo Rovai) / XIAO-ESP32S3-CAM-Fruits-vs-Veggies-v1-ESP-NN Public
Target: Arduino Nicla Vision (Cortex-M7 480MHz) Clone this project
Experiments EON Tuner
The EON Tuner helps you find the most optimal architecture for your embedded machine-learning application. Clone this project to use the EON Tuner.

Target

No name set

Arduino Nicla Vision (Cortex-M7 480MHz)

100 ms

1024 kB

2048 kB

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rgb-mobilenetv2-1c4
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

ACCURACY (KERAS-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.05
64 | 0.5 |

rgb-mobilenetv1-f61
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

ACCURACY (KERAS-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.2
64 | 0.5 |

rgb-conv2d-71b
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

32 |
32

IMAGE

RGB

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 10

Type Filters Kernel Rate
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.5

rgb-conv2d-2a0
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

32 |
32

IMAGE

RGB

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 10

Type Filters Kernel Rate
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
conv2d 128 3 -
dropout - - 0.5

rgb-mobilenetv2-300
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

ACCURACY (KERAS-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.05
64 | 0.1

grayscale-mobilenetv2-d47
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

ACCURACY (KERAS-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 0.1
64 | 0.1

rgb-mobilenetv2-a8d
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

ACCURACY (KERAS-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV2 160x160 0.5
64 | 0.1

grayscale-conv2d-216
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

64 |
64

IMAGE

Grayscale

ACCURACY (KERAS)
CLASSIFICATION

0.0005 | 10

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
conv2d 64 3 -
dropout - - 0.5

rgb-mobilenetv1-a1a
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

ACCURACY (KERAS-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.25
16 | 0.1 |

rgb-mobilenetv1-1cd
Show logs
PERFORMANCE
LATENCY
100 ms
RAM
1024 kB
ROM
2048 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

ACCURACY (KERAS-TRANSFER-IMAGE)
TRANSFER LEARNING (IMAGES)

0.0005 | 20

MobileNetV1 0.25
16 | 0.5 |

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