Wamiq Raza / Hand_Gesture_Recognition_using_OpenMV-Wamiq_Raza Public

Target: Cortex-M4F 80MHz Clone this project

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Hand_Gesture_Recognition_using_OpenMV-Wamiq_Raza

Object detection

About this project

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Data (125 items)

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00018.jpg.303kan6g

ID: 103140835

00000.jpg.2vf6akmg

ID: 103140892

00017.jpg.303kcl06

ID: 103140814

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

ID: 103140857

00005.jpg.2vf6d614

ID: 103140889

00032.jpg.303kan6j

ID: 103140832

00030.jpg.2vf6d6f0

ID: 103140868

00026.jpg.2vf6d6dt

ID: 103140872

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

On any device

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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	34,781
No. of clones	197