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

00016.jpg.2vf6d65e

ID: 103140879

00009.jpg.303kckta

ID: 103140821

superub.20-color.png.2ven8c2q.ingestion-59654888d4-phg7d.jpg.2vf8v6cb

ID: 103140855

00019.jpg.303kan88

ID: 103140836

superub.1-color.png.2ven896j.ingestion-59654888d4-p85pp.jpg.2vf8v3ip

ID: 103140865

00005.jpg.303ijenf

ID: 103140841

00015.jpg.303ijelt

ID: 103140840

00008.jpg.303kckul

ID: 103140816

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	44,237
No. of clones	224