MatteoHMarangoni / Bird Detector ESP32 Public
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Target

Run #1

Espressif ESP-EYE (ESP32 240MHz)

100 ms

4096 kB

4096 kB

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F1-score

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spectr-conv2d-993
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

SPECTROGRAM

0.05 | 0.025 | -52

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv2d 8 3 -
conv2d 16 3 -
conv2d 32 3 -
dropout - - 0.5

0

spectr-conv2d-2b8
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
TIME-SERIES INPUT

1000 ms |
1000 ms |
Enabled

SPECTROGRAM

0.075 | 0.075 | -32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
Data augmentation
conv2d 32 3 -
conv2d 64 3 -
conv2d 128 3 -
dropout - - 0.5

0

spectr-conv2d-8ad
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

SPECTROGRAM

0.05 | 0.025 | -72

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

0

spectr-conv2d-925
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

SPECTROGRAM

0.025 | 0.025 | -32

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.25

0

spectr-conv2d-9a0
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
TIME-SERIES INPUT

1000 ms |
500 ms |
Enabled

SPECTROGRAM

0.025 | 0.025 | -52

ACCURACY (KERAS)
CLASSIFICATION

0.005 | 100

Type Filters Kernel Rate
conv2d 8 3 -
conv2d 16 3 -
dropout - - 0.5

0