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Target: Espressif ESP-EYE (ESP32 240MHz) 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 Squash, 96x96

Espressif ESP-EYE (ESP32 240MHz)

100 ms

4096 kB

4096 kB

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Recall

Run #5 - 160x160, trainingBG (Feb 25 2024, 11:35:06, finished) Run #4 - No Squash, 96x96 (Feb 24 2024, 19:52:18, finished) Run #3 - Squash, 96x96 (Feb 24 2024, 19:35:33, finished) Run #2 (Feb 24 2024, 16:23:42, finished) Run #1 (Feb 24 2024, 11:17:18, finished)
100%
rgb-fomo-d99
PERFORMANCE
LATENCY
1662 ms of 100 ms
Exceeds target by 1562 ms
RAM
244 kB of 4096 kB
ROM
78 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 100%

FOMO (MobileNetV2 0.35) | int8

2/24/2024, 8:01:21 PM

90%
rgb-fomo-83e
PERFORMANCE
LATENCY
972 ms of 100 ms
Exceeds target by 872 ms
RAM
240 kB of 4096 kB
ROM
64 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 90%

FOMO (MobileNetV2 0.1) | int8

2/24/2024, 7:58:38 PM

80%
grayscale-fomo-462
PERFORMANCE
LATENCY
1610 ms of 100 ms
Exceeds target by 1510 ms
RAM
243 kB of 4096 kB
ROM
78 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 30 | 80%

FOMO (MobileNetV2 0.35) | int8

2/24/2024, 8:02:22 PM

80%
rgb-fomo-0ad
PERFORMANCE
LATENCY
1728 ms of 100 ms
Exceeds target by 1628 ms
RAM
244 kB of 4096 kB
ROM
78 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 80%

FOMO (MobileNetV2 0.35) | int8

2/24/2024, 8:00:48 PM

80%
grayscale-fomo-778
PERFORMANCE
LATENCY
1019 ms of 100 ms
Exceeds target by 919 ms
RAM
240 kB of 4096 kB
ROM
64 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 30 | 80%

FOMO (MobileNetV2 0.1) | int8

2/24/2024, 7:57:01 PM

70%
grayscale-fomo-5bf
PERFORMANCE
LATENCY
1723 ms of 100 ms
Exceeds target by 1623 ms
RAM
243 kB of 4096 kB
ROM
78 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 60 | 70%

FOMO (MobileNetV2 0.35) | int8

2/24/2024, 8:00:40 PM

60%
grayscale-fomo-caa
PERFORMANCE
LATENCY
660 ms of 100 ms
Exceeds target by 560 ms
RAM
240 kB of 4096 kB
ROM
64 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 60 | 60%

FOMO (MobileNetV2 0.1) | int8

2/24/2024, 7:59:15 PM

40%
rgb-fomo-a3e
PERFORMANCE
LATENCY
1099 ms of 100 ms
Exceeds target by 999 ms
RAM
240 kB of 4096 kB
ROM
64 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 40%

FOMO (MobileNetV2 0.1) | int8

2/24/2024, 7:59:03 PM

10%
grayscale-fomo-805
PERFORMANCE
LATENCY
1008 ms of 100 ms
Exceeds target by 908 ms
RAM
240 kB of 4096 kB
ROM
64 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 30 | 10%

FOMO (MobileNetV2 0.1) | int8

2/24/2024, 7:57:19 PM

rgb-fomo-8c6
PERFORMANCE
LATENCY
1435 ms of 100 ms
Exceeds target by 1335 ms
RAM
240 kB of 4096 kB
ROM
64 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 30 | 0%

FOMO (MobileNetV2 0.1) | int8

2/24/2024, 7:56:49 PM

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