Arnulfo Silva / TI-ML-Terrain-Recognition Public

Target: TI LAUNCHXL-CC1352P (Cortex-M4F 48MHz) 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.

TI-ML-Terrain-Recognition

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 (186 samples)

View all

Turf.json.2v694ve9.ingestion-7558d88f45-k9jh8.json.2vbkn7mg

ID: 99028414

Label: Turf

Sample length: 5s

Brick.json.2varjg19.ingestion-6d949d94fb-npt5b.json.2vbkn589

ID: 99028525

Label: Brick

Sample length: 10s

Wood.json.2vano9ro.ingestion-6d949d94fb-npt5b.json.2vbkn87e

ID: 99028397

Label: Wood

Sample length: 5s

Turf.json.2v6akc55.ingestion-7558d88f45-sch4b.json.2vbkn753

ID: 99028433

Label: Turf

Sample length: 5s

Turf.json.2v6alntl.ingestion-7558d88f45-k9jh8.json.2vbkn754

ID: 99028438

Label: Turf

Sample length: 5s

Turf.json.2v698thv.ingestion-7558d88f45-sch4b.json.2vbkn7ne

ID: 99028409

Label: Turf

Sample length: 5s

Carpet.json.2v685e02.ingestion-7558d88f45-sch4b.json.2vbkn6de

ID: 99028473

Label: Carpet

Sample length: 3s

Wood.json.2vangsqd.ingestion-6d949d94fb-npt5b.json.2vbkn7o4

ID: 99028413

Label: Wood

Sample length: 5s

Model accuracy (Unoptimized (float32))

Validation set

96.5%

Test set

88.9%

On-device performance (TI LAUNCHXL-CC1352P (Cortex-M4F 48MHz), Unoptimized (float32))

Latency

9 ms.

Peak RAM usage

3.6K

Flash usage

23.4K

Run this model

On any device

Clone project

Dataset summary

Data collected

15m 0s

Sensors

x, y, z @ 50Hz

Labels

Brick, Carpet, Foam, Turf, Wood

Project info

Project ID	50843
Project version	9
License	No license attached
No. of views	5,610
No. of clones	0