Arnulfo Silva / TI-ML-Terrain-Recognition Public

Target: TI LAUNCHXL-CC1352P (Cortex-M4F 48MHz) Clone this project

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TI-ML-Terrain-Recognition

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Data (186 samples)

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Wood.json.2vao4p0s.ingestion-6d949d94fb-4l4wk.json.2vbkn87t

ID: 99028384

Label: Wood

Sample length: 5s

Carpet.json.2v67lqqn.ingestion-7558d88f45-k9jh8.json.2vbkn5cv

ID: 99028503

Label: Carpet

Sample length: 3s

Carpet.json.2v67qv2g.ingestion-7558d88f45-k9jh8.json.2vbkn5km

ID: 99028508

Label: Carpet

Sample length: 3s

Turf.json.2v694kdk.ingestion-7558d88f45-k9jh8.json.2vbkn7mg

ID: 99028408

Label: Turf

Sample length: 5s

Wood.json.2vanch6s.ingestion-6d949d94fb-npt5b.json.2vbkn7no

ID: 99028412

Label: Wood

Sample length: 5s

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

ID: 99028525

Label: Brick

Sample length: 10s

Foam.json.2v6dk209.ingestion-7558d88f45-sch4b.json.2vbkn6nh

ID: 99028452

Label: Foam

Sample length: 5s

Wood.json.2vanjs9j.ingestion-6d949d94fb-4l4wk.json.2vbkn86l

ID: 99028386

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

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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	6,426
No. of clones	0