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

000000159537

ID: 257151172

Label: no traffic light

000000408950

ID: 257151406

Label: traffic light

000000449895

ID: 257151386

Label: traffic light

000000305821

ID: 257151060

Label: no traffic light

000000378502

ID: 257151441

Label: traffic light

000000247306

ID: 257151100

Label: no traffic light

000000143824

ID: 257151184

Label: no traffic light

000000205378

ID: 257151133

Label: no 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	26,574
No. of clones	3