Dashboard
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Experiments
- EON Tuner
Image data, Image, Object Detection (Images)
Image data, Image, Object Detection (Images)

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shugarry / Pothole and road safety detection Public

Clone this project

shugarry / Pothole and road safety detection Public

Target: Arduino UNO Q (Qualcomm QRB2210) Clone this project

Experiments EON Tuner

The EON Tuner helps you quickly run hyper-parameter sweeps that explore different pre-processing + model architectures optimized for your defined objectives. Clone this project to use the EON Tuner.

Target

Run 1

Arduino UNO Q (Qualcomm QRB2210)

100 ms

4194304 kB

8388608 kB

Filters

Status

Pending 0

Running 0

Completed 6

Failed 0

DSP type

Grayscale 4

RGB 2

Model type

FOMO 6

View

Data set

Validation

Test

Variant

Sort

General

Accuracy

Latency

RAM

ROM

Last updated

F1-score

Precision

Recall

21%

grayscale-fomo-678

PERFORMANCE

LATENCY

14 ms of 100 ms

RAM

409 kB of 4194304 kB

ROM

58 kB of 8388608 kB

DSP NN Unused

IMAGE INPUT

128 |

128

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60 | 21%

FOMO (MobileNetV2 0.1) | int8

0 5/9/2026, 11:26:33 PM

17%

grayscale-fomo-46e

PERFORMANCE

LATENCY

14 ms of 100 ms

RAM

409 kB of 4194304 kB

ROM

58 kB of 8388608 kB

DSP NN Unused

IMAGE INPUT

128 |

128

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 60 | 17%

FOMO (MobileNetV2 0.1) | int8

0 5/9/2026, 10:59:25 PM

16%

grayscale-fomo-8f0

PERFORMANCE

LATENCY

8 ms of 100 ms

RAM

240 kB of 4194304 kB

ROM

58 kB of 8388608 kB

DSP NN Unused

IMAGE INPUT

96 |

96

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.01 | 30 | 16%

FOMO (MobileNetV2 0.1) | int8

1 5/9/2026, 11:40:14 PM

14%

rgb-fomo-c60

PERFORMANCE

LATENCY

8 ms of 100 ms

RAM

240 kB of 4194304 kB

ROM

59 kB of 8388608 kB

DSP NN Unused

IMAGE INPUT

96 |

96

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.01 | 60 | 14%

FOMO (MobileNetV2 0.1) | int8

0 5/9/2026, 11:18:45 PM

10%

grayscale-fomo-44c

PERFORMANCE

LATENCY

8 ms of 100 ms

RAM

240 kB of 4194304 kB

ROM

58 kB of 8388608 kB

DSP NN Unused

IMAGE INPUT

96 |

96

IMAGE

Grayscale

OBJECT DETECTION (IMAGES)

0.1 | 30 | 10%

FOMO (MobileNetV2 0.1) | int8

0 5/9/2026, 10:47:21 PM

0%

rgb-fomo-6be

PERFORMANCE

LATENCY

221 ms of 100 ms

Exceeds target by 121 ms

RAM

631 kB of 4194304 kB

ROM

71 kB of 8388608 kB

DSP NN Unused

IMAGE INPUT

160 |

160

IMAGE

RGB

OBJECT DETECTION (IMAGES)

0.1 | 60 | 0%

FOMO (MobileNetV2 0.35) | int8

0 5/9/2026, 11:24:24 PM

Training output

Hide

Click 'Run EON Tuner' to begin

Configure a new EON Tuner run

The EON Tuner uses a Bayesian search algorithm to find optimal impulse configurations. To get started, select at least one run objective and configure your search space.

Name

Compute limit

Run objectives

Search space configuration

USE CASE

IMPULSE CONFIGURATION

Image data, Image, Object Detection (Images)

INPUT

Time-series
Pre-processed features

DSP

Raw
Spectral analysis
IMU (Syntiant)

LEARN

Dense
Convolutional (1D)

ANOMALY

Anomaly (k-means)
Anomaly (GMM)

ORGANIZATION (DSP)

Add custom DSP block
Add custom ML block

Custom search space

Do more with EON Tuner

Access more parallel EON Tuner jobs for faster results, a fully customizable search space, and more model variant options.

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Configure your target device and application budget

Target device

Define your target device requirements to inform model optimizations and performance calculations. No device yet? Use the default settings which you can change at any time.

Target device

Processor type

Processor family

Processor architecture

Clock rate

| MHz

Max

Accelerator

Device ID (optional)

Custom device name (optional)

Application budget

Specify the available RAM and ROM for the model's operation, along with the maximum allowed latency for your specific application. Not sure yet? Start with the defaults and modify them later on.

RAM

| KB

Max

ROM

| KB

Max

Latency

| ms

Max

Choose your pricing

YEARLY

$400 /month

billed annually

SAVE 15%

MONTHLY

$475 /month

billed monthly

Additional usage

Professional Plan includes 1,000 compute minutes per month. Additional usage will be charged at $0.10 per minute, billed monthly.

Upgrade to Enterprise

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