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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Brick.json.2varmbpp.ingestion-6d949d94fb-4l4wk.json.2vbkn573

ID: 99028526

Label: Brick

Sample length: 10s

Wood.json.2vanil21.ingestion-6d949d94fb-npt5b.json.2vbkn7qt

ID: 99028405

Label: Wood

Sample length: 5s

Carpet.json.2v67q4np.ingestion-7558d88f45-sch4b.json.2vbkn5gc

ID: 99028511

Label: Carpet

Sample length: 3s

Wood.json.2vanncsa.ingestion-6d949d94fb-f7wg7.json.2vbkn87a

ID: 99028390

Label: Wood

Sample length: 5s

Carpet.json.2v68av71.ingestion-7558d88f45-k9jh8.json.2vbkn5r5

ID: 99028494

Label: Carpet

Sample length: 3s

Carpet.json.2v682rmd.ingestion-7558d88f45-k9jh8.json.2vbkn5v1

ID: 99028483

Label: Carpet

Sample length: 3s

Foam.json.2v6dleor.ingestion-7558d88f45-lsf97.json.2vbkn71d

ID: 99028448

Label: Foam

Sample length: 5s

Carpet.json.2v689bi9.ingestion-7558d88f45-lsf97.json.2vbkn6en

ID: 99028472

Label: Carpet

Sample length: 3s

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

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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	4,781
No. of clones	0