Datasets by Edge Impulse / Object Detection - Bottles rack Public
Target: Raspberry Pi 4 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

Raspberry Pi 4

100 ms

8388608 kB

33554432 kB

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F1-score

Precision

Recall

100%
grayscale-fomo-148
Show logs
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 | 30 | 100%

FOMO (MobileNetV2 0.35) | int8

4/8/2024, 9:22:13 AM

100%
grayscale-fomo-f80
Show logs
PERFORMANCE
LATENCY
8 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 | 30 | 100%

FOMO (MobileNetV2 0.35) | int8

4/8/2024, 9:23:45 AM

100%
rgb-fomo-f37
Show logs
PERFORMANCE
LATENCY
8 ms of 100 ms
RAM
631 kB of 8388608 kB
ROM
79 kB of 33554432 kB
DSP NN Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 60 | 100%

FOMO (MobileNetV2 0.35) | int8

4/8/2024, 9:22:43 AM

grayscale-fomo-56e
PERFORMANCE
LATENCY
100 ms
RAM
8388608 kB
ROM
33554432 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60

FOMO (MobileNetV2 0.35) | int8

rgb-fomo-0a1
PERFORMANCE
LATENCY
100 ms
RAM
8388608 kB
ROM
33554432 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60

FOMO (MobileNetV2 0.35) | int8

rgb-fomo-32c
PERFORMANCE
LATENCY
100 ms
RAM
8388608 kB
ROM
33554432 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 30

FOMO (MobileNetV2 0.35) | int8

grayscale-fomo-408
PERFORMANCE
LATENCY
100 ms
RAM
8388608 kB
ROM
33554432 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 30

FOMO (MobileNetV2 0.35) | int8

rgb-fomo-5f9
PERFORMANCE
LATENCY
100 ms
RAM
8388608 kB
ROM
33554432 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 30

FOMO (MobileNetV2 0.35) | int8

rgb-fomo-fce
PERFORMANCE
LATENCY
100 ms
RAM
8388608 kB
ROM
33554432 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 60

FOMO (MobileNetV2 0.35) | int8

rgb-fomo-276
PERFORMANCE
LATENCY
100 ms
RAM
8388608 kB
ROM
33554432 kB
Unused
IMAGE INPUT

160 |
160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60

FOMO (MobileNetV2 0.35) | int8

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