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
Sony Spresense (Cortex-M4F 156MHz)
100 ms
1536 kB
8096 kB
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General
F1-score
Precision
Recall
rgb-mobilenetv2-7cd
PERFORMANCE
LATENCY
100 ms
RAM
1536 kB
ROM
8096 kB
Unused
IMAGE INPUT
160
|
160
IMAGE
RGB
ACCURACY (KERAS-TRANSFER-IMAGE)
grayscale-conv2d-b1f
PERFORMANCE
LATENCY
100 ms
RAM
1536 kB
ROM
8096 kB
Unused
IMAGE INPUT
96
|
96
IMAGE
Grayscale
ACCURACY (KERAS)
rgb-mobilenetv2-f40
PERFORMANCE
LATENCY
100 ms
RAM
1536 kB
ROM
8096 kB
Unused
IMAGE INPUT
96
|
96
IMAGE
RGB
ACCURACY (KERAS-TRANSFER-IMAGE)
grayscale-mobilenetv1-77b
PERFORMANCE
LATENCY
100 ms
RAM
1536 kB
ROM
8096 kB
Unused
IMAGE INPUT
96
|
96
IMAGE
Grayscale
ACCURACY (KERAS-TRANSFER-IMAGE)
grayscale-mobilenetv2-768
PERFORMANCE
LATENCY
100 ms
RAM
1536 kB
ROM
8096 kB
Unused
IMAGE INPUT
96
|
96
IMAGE
Grayscale
ACCURACY (KERAS-TRANSFER-IMAGE)
Training output
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