toto / Logo_kaiten 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

No name set

Espressif ESP-EYE (ESP32 240MHz)

100 ms

4096 kB

4096 kB

Filters

Status

DSP type

Model type

View

Data set

Variant

Sort

General

F1-score

Precision

Recall

Run #1 (Jun 12 2024, 05:55:08, finished)
90%
grayscale-fomo-100
PERFORMANCE
LATENCY
1423 ms of 100 ms
Exceeds target by 1323 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 | 90%

FOMO (MobileNetV2 0.35) | int8

6/12/2024, 6:20:36 AM

85%
rgb-fomo-747
PERFORMANCE
LATENCY
1085 ms of 100 ms
Exceeds target by 985 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 | 85%

FOMO (MobileNetV2 0.1) | int8

6/12/2024, 6:09:38 AM

85%
grayscale-fomo-82e
PERFORMANCE
LATENCY
686 ms of 100 ms
Exceeds target by 586 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 | 85%

FOMO (MobileNetV2 0.1) | int8

6/12/2024, 6:12:08 AM

85%
rgb-fomo-a0a
PERFORMANCE
LATENCY
1359 ms of 100 ms
Exceeds target by 1259 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 | 85%

FOMO (MobileNetV2 0.1) | int8

6/12/2024, 6:04:10 AM

83%
rgb-fomo-25e
PERFORMANCE
LATENCY
1495 ms of 100 ms
Exceeds target by 1395 ms
RAM
244 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 | 83%

FOMO (MobileNetV2 0.35) | int8

6/12/2024, 6:16:44 AM

83%
rgb-fomo-c81
PERFORMANCE
LATENCY
1503 ms of 100 ms
Exceeds target by 1403 ms
RAM
244 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 | 83%

FOMO (MobileNetV2 0.35) | int8

6/12/2024, 6:09:55 AM

83%
grayscale-fomo-821
PERFORMANCE
LATENCY
1028 ms of 100 ms
Exceeds target by 928 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 | 83%

FOMO (MobileNetV2 0.1) | int8

6/12/2024, 6:04:08 AM

71%
rgb-fomo-8ce
PERFORMANCE
LATENCY
1064 ms of 100 ms
Exceeds target by 964 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 | 71%

FOMO (MobileNetV2 0.1) | int8

6/12/2024, 6:04:32 AM

59%
grayscale-fomo-64a
PERFORMANCE
LATENCY
1173 ms of 100 ms
Exceeds target by 1073 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 | 59%

FOMO (MobileNetV2 0.1) | int8

6/12/2024, 6:06:24 AM

54%
grayscale-fomo-089
PERFORMANCE
LATENCY
1387 ms of 100 ms
Exceeds target by 1287 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 | 54%

FOMO (MobileNetV2 0.35) | int8

6/12/2024, 6:15:31 AM

Help & documentation Get help on the forum Send feedback Contact sales
Join us
Terms of Service Privacy policy