Developer Relations / Thermostatic valve (FOMO-AD 192x192) - dataset collected by Edge Impulse Public

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

FOMO-AD parameter search

Visual anomaly detection

Nvidia Jetson Nano

100 ms

8388608 kB

16777216 kB

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Status

DSP type

Network type

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General

F1-score

Precision

Recall

67%
rgb-dense-ae3
PERFORMANCE
LATENCY
16 ms of 100 ms
RAM
1381 kB of 8388608 kB
ROM
88 kB of 16777216 kB
DSP NN Unused
INPUT

120 | 120

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.35 | high | 7.1

4/11/2024, 8:42:23 AM

67%
rgb-dense-139
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
1381 kB of 8388608 kB
ROM
88 kB of 16777216 kB
DSP NN Unused
INPUT

120 | 120

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.35 | high | 2

4/11/2024, 8:46:07 AM

58%
rgb-dense-c68
PERFORMANCE
LATENCY
16 ms of 100 ms
RAM
2439 kB of 8388608 kB
ROM
88 kB of 16777216 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.35 | high | 5.1

4/11/2024, 8:50:07 AM

50%
rgb-dense-7db
PERFORMANCE
LATENCY
30 ms of 100 ms
RAM
4755 kB of 8388608 kB
ROM
58 kB of 16777216 kB
DSP NN Unused
INPUT

224 | 224

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | high | 2.2

4/11/2024, 8:45:13 AM

50%
rgb-dense-1fb
PERFORMANCE
LATENCY
29 ms of 100 ms
RAM
4755 kB of 8388608 kB
ROM
58 kB of 16777216 kB
DSP NN Unused
INPUT

224 | 224

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | high | 7.1

4/11/2024, 8:53:40 AM

43%
rgb-dense-7cc
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
2439 kB of 8388608 kB
ROM
58 kB of 16777216 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | high | 11.1

4/11/2024, 8:42:20 AM

43%
rgb-dense-b44
PERFORMANCE
LATENCY
16 ms of 100 ms
RAM
2439 kB of 8388608 kB
ROM
58 kB of 16777216 kB
DSP NN Unused
INPUT

160 | 160

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | high | 2.8

4/11/2024, 8:42:27 AM

43%
rgb-dense-247
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
1381 kB of 8388608 kB
ROM
58 kB of 16777216 kB
DSP NN Unused
INPUT

120 | 120

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | high | 7.1

4/11/2024, 8:49:51 AM

43%
rgb-dense-5d6
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
1381 kB of 8388608 kB
ROM
58 kB of 16777216 kB
DSP NN Unused
INPUT

120 | 120

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | high | 1.8

4/11/2024, 8:49:28 AM

42%
rgb-dense-1fe
PERFORMANCE
LATENCY
9 ms of 100 ms
RAM
891 kB of 8388608 kB
ROM
58 kB of 16777216 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | high | 1.8

4/11/2024, 8:41:21 AM

42%
rgb-dense-a09
PERFORMANCE
LATENCY
6 ms of 100 ms
RAM
891 kB of 8388608 kB
ROM
88 kB of 16777216 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.35 | high | 1.8

4/11/2024, 8:47:34 AM

40%
rgb-dense-b03
PERFORMANCE
LATENCY
6 ms of 100 ms
RAM
891 kB of 8388608 kB
ROM
88 kB of 16777216 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.35 | medium | 11.1

4/11/2024, 8:44:18 AM

38%
rgb-dense-655
PERFORMANCE
LATENCY
45 ms of 100 ms
RAM
4 kB of 8388608 kB
ROM
39 kB of 16777216 kB
DSP NN Unused
INPUT

320 | 320

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | high | 1.8

4/11/2024, 8:46:02 AM

38%
rgb-dense-c28
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
891 kB of 8388608 kB
ROM
58 kB of 16777216 kB
DSP NN Unused
INPUT

96 | 96

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | medium | 2.8

4/11/2024, 8:44:19 AM

38%
rgb-dense-634
PERFORMANCE
LATENCY
63 ms of 100 ms
RAM
4 kB of 8388608 kB
ROM
39 kB of 16777216 kB
DSP NN Unused
INPUT

320 | 320

IMAGE

RGB

ACCURACY
FOMO-AD (IMAGES)
MobileNetV2 0.1 | high | 11.1

4/11/2024, 8:50:57 AM