Phyboc / Drowsiness Detection System by TechBrigade Public

Target: Cortex-M4F 80MHz Clone this project

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Drowsiness Detection System by TechBrigade

Object detection

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Data (160 items)

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20230725_193032_jpg.rf.0a36a7d16bdf9ba3948b135127095b0a

ID: 2270117306

20230725_192405_jpg.rf.22723caa62cebbdee855cbc440369cb2

ID: 2270117199

20230725_193218_jpg.rf.bb1735d8e398dfb4549473567d921ada

ID: 2270117324

20230725_192823_jpg.rf.0c27a84c30e9e67f4ef9e9bf0585f9da

ID: 2270117269

20230725_192801_jpg.rf.ac1a5e4f524a2bd11b9ccac8f489df40

ID: 2270117281

20230725_193102_jpg.rf.a2f76917ffcf08d1c4fede5e1259f466

ID: 2270117308

20230725_192443_jpg.rf.c08b7dec9affd3c039502ffacdc6884c

ID: 2270117204

20230725_192517_jpg.rf.0b2113ba00118bce67e9e8d49b067790

ID: 2270117218

Model accuracy (Unoptimized (float32))

Validation set

96.3%

Test set

90.5%

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

Latency

734 ms.

Peak RAM usage

137.7K

Flash usage

81.3K

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Dataset summary

Data collected

160 items

Labels

closed, open

Project info

Project ID	789488
License	3-Clause BSD
No. of views	21
No. of clones	0