Ankita Jadhav / lab_human_detection Public
Target: Espressif ESP-EYE (ESP32 240MHz) Clone this project
Experiments EON Tuner
The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. Clone this project to use the EON Tuner.

Target

test1

Espressif ESP-EYE (ESP32 240MHz)

100 ms

4096 kB

4096 kB

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General

F1-score

Precision

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Run #17 - tuner (Apr 09 2024, 13:44:50, finished) Run #16 - test6 (Apr 07 2024, 13:20:36, finished) Run #15 - test5 (Mar 31 2024, 16:06:50, running) Run #14 - test5 (Mar 22 2024, 16:43:18, finished) Run #13 - test5 (Mar 22 2024, 09:47:12, finished) Run #12 - test5 (Mar 22 2024, 09:25:33, cancelled) Run #11 - test4 (Mar 21 2024, 20:56:09, finished) Run #10 - test4 (Mar 19 2024, 17:15:35, finished) Run #9 - test4 (Mar 19 2024, 16:07:32, finished) Run #8 - test4 (Mar 18 2024, 12:59:55, cancelled) Run #7 - test4 (Mar 18 2024, 12:34:19, cancelled) Run #6 - test3 (Mar 18 2024, 12:03:21, cancelled) Run #5 - test3 (Mar 17 2024, 21:26:12, finished) Run #4 - test2 (Mar 15 2024, 12:46:49, finished) Run #3 - test1 (Mar 14 2024, 18:26:52, finished) Run #2 - test1 (Mar 14 2024, 18:21:03, finished) Run #1 - testing (Mar 14 2024, 13:05:13, finished)
91%
rgb-fomo-571
PERFORMANCE
LATENCY
1471 ms of 100 ms
Exceeds target by 1371 ms
RAM
243 kB of 4096 kB
ROM
79 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 91%

FOMO (MobileNetV2 0.35) | int8

3/14/2024, 6:56:37 PM

85%
rgb-fomo-d1a
PERFORMANCE
LATENCY
1485 ms of 100 ms
Exceeds target by 1385 ms
RAM
243 kB of 4096 kB
ROM
79 kB of 4096 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 85%

FOMO (MobileNetV2 0.35) | int8

3/14/2024, 6:46:12 PM

85%
grayscale-fomo-536
PERFORMANCE
LATENCY
1364 ms of 100 ms
Exceeds target by 1264 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 | 85%

FOMO (MobileNetV2 0.35) | int8

3/14/2024, 7:05:06 PM

85%
grayscale-fomo-437
PERFORMANCE
LATENCY
1011 ms of 100 ms
Exceeds target by 911 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 | 85%

FOMO (MobileNetV2 0.1) | int8

3/14/2024, 6:37:08 PM

83%
rgb-fomo-5da
PERFORMANCE
LATENCY
1076 ms of 100 ms
Exceeds target by 976 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 | 83%

FOMO (MobileNetV2 0.1) | int8

3/14/2024, 6:45:55 PM

77%
grayscale-fomo-e59
PERFORMANCE
LATENCY
1364 ms of 100 ms
Exceeds target by 1264 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 | 77%

FOMO (MobileNetV2 0.35) | int8

3/14/2024, 6:59:12 PM

75%
rgb-fomo-cdb
PERFORMANCE
LATENCY
1058 ms of 100 ms
Exceeds target by 958 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 | 75%

FOMO (MobileNetV2 0.1) | int8

3/14/2024, 6:40:13 PM

75%
rgb-fomo-f87
PERFORMANCE
LATENCY
1050 ms of 100 ms
Exceeds target by 950 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 | 75%

FOMO (MobileNetV2 0.1) | int8

3/14/2024, 6:37:37 PM

72%
grayscale-fomo-44e
PERFORMANCE
LATENCY
1038 ms of 100 ms
Exceeds target by 938 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 | 72%

FOMO (MobileNetV2 0.1) | int8

3/14/2024, 6:49:34 PM

72%
grayscale-fomo-bdd
PERFORMANCE
LATENCY
1010 ms of 100 ms
Exceeds target by 910 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 | 72%

FOMO (MobileNetV2 0.1) | int8

3/14/2024, 6:41:42 PM

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