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
Run #1
Espressif ESP-EYE (ESP32 240MHz)
10 ms
4096 kB
4096 kB
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General
F1-score
Precision
Recall
100%
rgb-ssd-266
PERFORMANCE
LATENCY
83679 ms of
10 ms
Exceeds target by 83669 ms
RAM
4 kB of
4096 kB
ROM
11226 kB of
4096 kB
Exceeds target by 7130 kB
DSP
NN
Unused
IMAGE INPUT
320
|
320
IMAGE
RGB
OBJECT DETECTION (IMAGES)
0.01 | 30 | 100%
MobileNetV2 SSD FPN-Lite
|
float32
0 11/26/2025, 10:42:25 AM
100%
rgb-ssd-247
PERFORMANCE
LATENCY
316017 ms of
10 ms
Exceeds target by 316007 ms
RAM
4 kB of
4096 kB
ROM
11226 kB of
4096 kB
Exceeds target by 7130 kB
DSP
NN
Unused
IMAGE INPUT
320
|
320
IMAGE
RGB
OBJECT DETECTION (IMAGES)
0.01 | 60 | 100%
MobileNetV2 SSD FPN-Lite
|
float32
0 11/26/2025, 10:42:48 AM
0%
rgb-ssd-9c2
PERFORMANCE
LATENCY
312456 ms of
10 ms
Exceeds target by 312446 ms
RAM
4 kB of
4096 kB
ROM
11226 kB of
4096 kB
Exceeds target by 7130 kB
DSP
NN
Unused
IMAGE INPUT
320
|
320
IMAGE
RGB
OBJECT DETECTION (IMAGES)
0.001 | 60 | 0%
MobileNetV2 SSD FPN-Lite
|
float32
0 11/26/2025, 10:45:46 AM
0%
rgb-ssd-b94
PERFORMANCE
LATENCY
219873 ms of
10 ms
Exceeds target by 219863 ms
RAM
4 kB of
4096 kB
ROM
11226 kB of
4096 kB
Exceeds target by 7130 kB
DSP
NN
Unused
IMAGE INPUT
320
|
320
IMAGE
RGB
OBJECT DETECTION (IMAGES)
0.001 | 30 | 0%
MobileNetV2 SSD FPN-Lite
|
float32
0 11/26/2025, 10:52:49 AM
Training output
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