Edge Impulse Experts / RPi-blues-yolo Public

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RPi-blues-yolo

Object detection

About this project

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Data (331 items)

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image0000179.jpg.3kgk6mbh.ingestion-6dd5b69b66-nxpxv

ID: 167097006

image0000089.jpg.3ke0ukca.ingestion-84dc5c7996-bbb64

ID: 167097101

image0000017.jpg.3kgjkpjp.ingestion-6dd5b69b66-zp7vm

ID: 167097241

image0000147.jpg.3kgk3mug.ingestion-6dd5b69b66-nxpxv

ID: 167097028

image0000041.jpg.3ke18gpp.ingestion-84dc5c7996-bbb64

ID: 167097202

image0000097.jpg.3ke1bm87.ingestion-84dc5c7996-5btqh

ID: 167097086

image0000120.jpg.3kgk0lm2.ingestion-6dd5b69b66-lvlj4

ID: 167097054

image0000012.jpg.3ke17bs4.ingestion-84dc5c7996-bbb64

ID: 167097258

Model accuracy (Unoptimized (float32))

Validation set

98.3%

Test set

5.7%

On-device performance (Cortex-M4F 80MHz, Unoptimized (float32))

Latency

7 ms.

Peak RAM usage

4.0K

Flash usage

3.5M

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On any device

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Dataset summary

Data collected

331 items

Labels

Justin, seatbelt

Project info

Project ID	169852
Project version	1
License	Apache 2.0
No. of views	25,253
No. of clones	56