Duke / Pallet Public

Target: Cortex-M4F 80MHz Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

Pallet

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (421 samples)

View all

_accelGyro_2022-05-22_16.59.59

ID: 107068364

Label: flat

Sample length: 512ms

_accelGyro_2022-05-22_17.35.25

ID: 107068172

Label: shock

Sample length: 512ms

_accelGyro_2022-05-22_17.24.18

ID: 107068258

Label: moving

Sample length: 512ms

_accelGyro_2022-05-22_17.34.47

ID: 107068190

Label: shock

Sample length: 512ms

_accelGyro_2022-05-22_17.02.06

ID: 107068333

Label: inverted

Sample length: 512ms

_accelGyro_2022-05-22_16.59.42

ID: 107068388

Label: flat

Sample length: 512ms

_accelGyro_2022-05-22_17.35.24

ID: 107068175

Label: shock

Sample length: 448ms

_accelGyro_2022-05-22_17.01.57

ID: 107068277

Label: inverted

Sample length: 448ms

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

80.1%

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

1 ms.

Peak RAM usage

4.2K

Flash usage

35.6K

Run this model

On any device

Clone project

Dataset summary

Data collected

3m 31s

Sensors

ax, ay, az, gx, gy, gz @ 125Hz

Labels

flat, inverted, moving, shock

Project info

Project ID	107269
Project version	1
License	No license attached
No. of views	13,467
No. of clones	0