ANTOINE PORTE / Visual Wake Words for traffic light detection Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) 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.

Visual Wake Words for traffic light detection

Images

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 (1,001 items)

View all

000000383406

ID: 257151002

Label: no traffic light

000000568623

ID: 257151302

Label: traffic light

000000245232

ID: 257151532

Label: traffic light

000000148909

ID: 257151610

Label: traffic light

000000072050

ID: 257151655

Label: traffic light

000000037907

ID: 257151258

Label: no traffic light

000000385535

ID: 257151428

Label: traffic light

000000534516

ID: 257151329

Label: traffic light

Model accuracy (Unoptimized (float32))

Validation set

71.9%

Test set

76.5%

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

Latency

1243 ms.

Peak RAM usage

130.9K

Flash usage

307.0K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

1,001 items

Labels

no traffic light, traffic light

Project info

Project ID	208435
Project version	3
License	Apache 2.0
No. of views	17,508
No. of clones	2