Wamiq Raza / Hand_Gesture_Recognition_using_OpenMV-Wamiq_Raza Public

Target: Cortex-M4F 80MHz 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.

Hand_Gesture_Recognition_using_OpenMV-Wamiq_Raza

Object detection

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 (125 items)

View all

superub.19-color.png.2ven8cb6.ingestion-59654888d4-frmkj.jpg.2vf8v6uq

ID: 103140852

00024.jpg.303kan86

ID: 103140803

00011.jpg.303kckun

ID: 103140823

00022.jpg.2vf6d6cm

ID: 103140876

superub.9-color.png.2ven8btj.ingestion-59654888d4-phg7d.jpg.2vf8v5dl

ID: 103140857

00005.jpg.2vf6d614

ID: 103140889

00014.jpg.303kcl01

ID: 103140818

superub.6-color.png.2ven88ec.ingestion-59654888d4-p85pp.jpg.2vf8v4h2

ID: 103140867

Model accuracy (Unoptimized (float32))

Validation set

92.7%

Test set

91.3%

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

317 ms.

Peak RAM usage

75.9K

Flash usage

63.9K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

125 items

Labels

horns, index, superb, two

Project info

Project ID	84373
Project version	1
License	No license attached
No. of views	42,399
No. of clones	222