RuVic / RICE detection Public
Target: Raspberry Pi 4 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

hh

Raspberry Pi 4

100 ms

8388608 kB

33554432 kB

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F1-score

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Run #1 - hh (Jul 03 2024, 05:26:52, finished)
100%
rgb-fomo-8e3
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
244 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 100%

FOMO (MobileNetV2 0.35) | int8

7/3/2024, 5:54:49 AM

100%
rgb-fomo-cff
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
244 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 30 | 100%

FOMO (MobileNetV2 0.35) | int8

7/3/2024, 5:54:59 AM

100%
rgb-fomo-cff
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
240 kB of 8388608 kB
ROM
64 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 100%

FOMO (MobileNetV2 0.1) | int8

7/3/2024, 5:42:01 AM

100%
rgb-fomo-295
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
627 kB of 8388608 kB
ROM
64 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 100%

FOMO (MobileNetV2 0.1) | int8

7/3/2024, 5:46:41 AM

100%
rgb-fomo-189
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
409 kB of 8388608 kB
ROM
64 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

128 |
128

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 100%

FOMO (MobileNetV2 0.1) | int8

7/3/2024, 5:40:47 AM

80%
grayscale-fomo-b45
PERFORMANCE
LATENCY
7 ms of 100 ms
RAM
630 kB of 8388608 kB
ROM
78 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60 | 80%

FOMO (MobileNetV2 0.35) | int8

7/3/2024, 5:49:13 AM

80%
grayscale-fomo-ffa
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
409 kB of 8388608 kB
ROM
64 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

128 |
128

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 30 | 80%

FOMO (MobileNetV2 0.1) | int8

7/3/2024, 5:38:32 AM

80%
rgb-fomo-e06
PERFORMANCE
LATENCY
5 ms of 100 ms
RAM
627 kB of 8388608 kB
ROM
64 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30 | 80%

FOMO (MobileNetV2 0.1) | int8

7/3/2024, 6:02:22 AM

80%
grayscale-fomo-117
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
627 kB of 8388608 kB
ROM
64 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 30 | 80%

FOMO (MobileNetV2 0.1) | int8

7/3/2024, 5:41:43 AM

80%
grayscale-fomo-7e7
PERFORMANCE
LATENCY
3 ms of 100 ms
RAM
243 kB of 8388608 kB
ROM
78 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

96 |
96

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60 | 80%

FOMO (MobileNetV2 0.35) | int8

7/3/2024, 5:51:13 AM

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