Austin / bottles Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

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bottles

Object detection

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Data (90 items)

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bottle.43vrb2io.ingestion-5d985b9c4-2zlpf

ID: 470291101

bottle.43vr9vgm.ingestion-5d985b9c4-jg7s2

ID: 470291167

bottle.43vrbdvd.ingestion-5d985b9c4-2zlpf

ID: 470291083

bottle.43vraun4.ingestion-5d985b9c4-jg7s2

ID: 470291115

bottle.43vr8mdl.ingestion-5d985b9c4-jg7s2

ID: 470291135

bottle.43vrb3fg.ingestion-5d985b9c4-2zlpf

ID: 470291103

bottle.43vra04d.ingestion-5d985b9c4-pdlgf

ID: 470291162

bottle.43vrb9u1.ingestion-5d985b9c4-jg7s2

ID: 470291089

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

95.5%

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Quantized (int8))

Latency

365 ms.

Peak RAM usage

113.7K

Flash usage

58.7K

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Dataset summary

Data collected

90 items

Labels

bottle

Project info

Project ID	247987
Project version	1
License	Apache 2.0
No. of views	7,964
No. of clones	0