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 #2
Raspberry Pi 5
100 ms
8388608 kB
33554432 kB
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Run #2 (Nov 30 2025, 01:10:15, finished)
67%
rgb-ssd-b74
PERFORMANCE
LATENCY
89 ms of
100 ms
RAM
4 kB of
8388608 kB
ROM
11229 kB of
33554432 kB
DSP
NN
Unused
IMAGE INPUT
320
|
320
IMAGE
RGB
OBJECT DETECTION (IMAGES)
0.001 | 30 | 67%
MobileNetV2 SSD FPN-Lite
|
float32
0 11/30/2025, 1:22:18 AM
67%
rgb-ssd-4ab
PERFORMANCE
LATENCY
86 ms of
100 ms
RAM
4 kB of
8388608 kB
ROM
11229 kB of
33554432 kB
DSP
NN
Unused
IMAGE INPUT
320
|
320
IMAGE
RGB
OBJECT DETECTION (IMAGES)
0.001 | 60 | 67%
MobileNetV2 SSD FPN-Lite
|
float32
0 11/30/2025, 1:17:04 AM
0%
rgb-ssd-e82
PERFORMANCE
LATENCY
73 ms of
100 ms
RAM
4 kB of
8388608 kB
ROM
11229 kB of
33554432 kB
DSP
NN
Unused
IMAGE INPUT
320
|
320
IMAGE
RGB
OBJECT DETECTION (IMAGES)
0.01 | 60 | 0%
MobileNetV2 SSD FPN-Lite
|
float32
0 11/30/2025, 1:17:38 AM
0%
rgb-ssd-5da
PERFORMANCE
LATENCY
80 ms of
100 ms
RAM
4 kB of
8388608 kB
ROM
11229 kB of
33554432 kB
DSP
NN
Unused
IMAGE INPUT
320
|
320
IMAGE
RGB
OBJECT DETECTION (IMAGES)
0.01 | 30 | 0%
MobileNetV2 SSD FPN-Lite
|
float32
0 11/30/2025, 1:16:32 AM
Training output
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