Nekhil R / Fire Detection with sensor fusion 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 motion

Cortex-M7 216MHz

100 ms

340 kB

1024 kB

Filters

Status

DSP type

Network type

View

Data set

Precision

Sort

General

F1-score

Precision

Recall

100%
spectr-dense-07b
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
3 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.5

12/19/2022, 5:53:52 AM

100%
spectr-dense-98b
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

12/19/2022, 5:55:03 AM

100%
spectr-dense-933
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dropout - - 0.25

12/19/2022, 5:55:16 AM

100%
spectr-dense-9d1
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.25

12/19/2022, 5:56:39 AM

100%
spectr-dense-8d6
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dropout - - 0.5

12/19/2022, 5:57:31 AM

100%
spectr-dense-661
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 2000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dense 5 - -
dropout - - 0.25

12/19/2022, 5:58:03 AM

100%
spectr-dense-b76
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 1000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dense 5 - -
dropout - - 0.5

12/19/2022, 5:58:09 AM

100%
spectr-dense-ade
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
3 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 500 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

12/19/2022, 5:58:39 AM

99%
spectr-dense-231
PERFORMANCE
LATENCY
1 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

2000 ms | 500 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dropout - - 0.5

12/19/2022, 5:58:49 AM

99%
spectr-dense-d36
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.5

12/19/2022, 5:53:29 AM

99%
spectr-dense-66d
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

12/19/2022, 5:53:30 AM

99%
spectr-dense-41f
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
18 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.25

12/19/2022, 5:54:11 AM

99%
spectr-dense-6f4
PERFORMANCE
LATENCY
4 ms of 100 ms
RAM
3 kB of 340 kB
ROM
17 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

16

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 20 - -
dense 10 - -
dropout - - 0.5

12/19/2022, 5:54:42 AM

99%
spectr-dense-c74
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
3 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dropout - - 0.5

12/19/2022, 5:55:24 AM

99%
spectr-dense-e6e
PERFORMANCE
LATENCY
2 ms of 100 ms
RAM
4 kB of 340 kB
ROM
21 kB of 1024 kB
DSP NN Unused
INPUT

4000 ms | 1000 ms

SPECTRAL-ANALYSIS

64

ACCURACY
CLASSIFICATION

0.0005 | 30

Type Filters Kernel Rate
dense 40 - -
dense 20 - -
dense 10 - -
dropout - - 0.5

12/19/2022, 5:55:59 AM