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Target
No name set
Espressif ESP-EYE (ESP32 240MHz)
100 ms
4096 kB
4096 kB
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rgb-mobilenetv1-ed5
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
160 |
160
IMAGE
RGB
ACCURACY (KERAS-TRANSFER-IMAGE)
Confusion matrices are not available for this model
TRANSFER LEARNING (IMAGES)
0.0005 | 20
MobileNetV1 0.25
16 | 0.5 |
rgb-mobilenetv1-901
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
160 |
160
IMAGE
RGB
ACCURACY (KERAS-TRANSFER-IMAGE)
Confusion matrices are not available for this model
TRANSFER LEARNING (IMAGES)
0.0005 | 20
MobileNetV1 0.25
16 | 0.1 |
grayscale-conv2d-2b1
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
64 |
64
IMAGE
Grayscale
ACCURACY (KERAS)
Confusion matrices are not available for this model
CLASSIFICATION
0.0005 | 10
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 8 | 3 | - |
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.5 |
rgb-mobilenetv2-440
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
96 |
96
IMAGE
RGB
ACCURACY (KERAS-TRANSFER-IMAGE)
Confusion matrices are not available for this model
TRANSFER LEARNING (IMAGES)
0.0005 | 20
MobileNetV2 160x160 0.5
64 | 0.1
grayscale-mobilenetv2-57d
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
160 |
160
IMAGE
Grayscale
ACCURACY (KERAS-TRANSFER-IMAGE)
Confusion matrices are not available for this model
TRANSFER LEARNING (IMAGES)
0.0005 | 20
MobileNetV2 0.1
64 | 0.1
rgb-mobilenetv2-18e
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
160 |
160
IMAGE
RGB
ACCURACY (KERAS-TRANSFER-IMAGE)
Confusion matrices are not available for this model
TRANSFER LEARNING (IMAGES)
0.0005 | 20
MobileNetV2 0.05
64 | 0.1
rgb-conv2d-568
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
32 |
32
IMAGE
RGB
ACCURACY (KERAS)
Confusion matrices are not available for this model
CLASSIFICATION
0.0005 | 10
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| conv2d | 128 | 3 | - |
| dropout | - | - | 0.5 |
rgb-conv2d-0ac
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
32 |
32
IMAGE
RGB
ACCURACY (KERAS)
Confusion matrices are not available for this model
CLASSIFICATION
0.0005 | 10
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 16 | 3 | - |
| conv2d | 32 | 3 | - |
| conv2d | 64 | 3 | - |
| dropout | - | - | 0.5 |
rgb-mobilenetv1-d98
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
160 |
160
IMAGE
RGB
ACCURACY (KERAS-TRANSFER-IMAGE)
Confusion matrices are not available for this model
TRANSFER LEARNING (IMAGES)
0.0005 | 20
MobileNetV1 0.2
64 | 0.5 |
rgb-mobilenetv2-e84
PERFORMANCE
LATENCY
100 ms
RAM
4096 kB
ROM
4096 kB
Unused
IMAGE INPUT
160 |
160
IMAGE
RGB
ACCURACY (KERAS-TRANSFER-IMAGE)
Confusion matrices are not available for this model
TRANSFER LEARNING (IMAGES)
0.0005 | 20
MobileNetV2 0.05
64 | 0.5 |
Training output
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