Edge Impulse Experts / Location Identification v7 Public

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

Continuous audio

Raspberry Pi RP2040 (Cortex-M0+ 133MHz)

100 ms

264 kB

2048 kB

Filters

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F1-score

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Recall

spectr-conv1d-abf
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 1000 ms

SPECTROGRAM

0.075 | 0.075 | -52

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

spectr-conv1d-5d3
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 1000 ms

SPECTROGRAM

0.05 | 0.05 | -32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

spectr-conv1d-187
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 1000 ms

SPECTROGRAM

0.075 | 0.0375 | -52

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

spectr-conv1d-d23
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 2000 ms

SPECTROGRAM

0.075 | 0.075 | -52

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.5

spectr-conv1d-879
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 1000 ms

SPECTROGRAM

0.05 | 0.05 | -32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

spectr-conv1d-ec9
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 2000 ms

SPECTROGRAM

0.05 | 0.05 | -32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

spectr-conv1d-3a6
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 1000 ms

SPECTROGRAM

0.075 | 0.0375 | -32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

spectr-conv1d-7de
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 2000 ms

SPECTROGRAM

0.075 | 0.0375 | -72

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

spectr-conv1d-f73
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 2000 ms

SPECTROGRAM

0.075 | 0.0375 | -72

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

spectr-conv1d-aee
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 2000 ms

SPECTROGRAM

0.075 | 0.075 | -52

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
conv1d 64 3 -
dropout - - 0.25

spectr-conv1d-5ab
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 1000 ms

SPECTROGRAM

0.05 | 0.05 | -72

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5

spectr-conv1d-5c0
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 2000 ms

SPECTROGRAM

0.05 | 0.05 | -32

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 8 3 -
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

spectr-conv1d-966
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 1000 ms

SPECTROGRAM

0.05 | 0.05 | -52

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.25

spectr-conv1d-9ba
PERFORMANCE
LATENCY
100 ms
RAM
264 kB
ROM
2048 kB
Unused
INPUT

2000 ms | 2000 ms

SPECTROGRAM

0.075 | 0.0375 | -72

ACCURACY
CLASSIFICATION (KERAS)

0.005 | 100

Type Filters Kernel Rate
conv1d 16 3 -
conv1d 32 3 -
dropout - - 0.5