Arijit Das / Pneumonia detection using EdgeML Public

Target: Cortex-M4F 80MHz Clone this project

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Pneumonia detection using EdgeML

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About this project

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Data (4,729 items)

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IM-0565-0001.jpeg.1s4p6a5d

ID: 12933233

Label: normal

NORMAL2-IM-0995-0001-0001.jpeg.1s4p1ld6

ID: 12934142

Label: normal

IM-0560-0001.jpeg.1s4p58m9

ID: 12933397

Label: normal

NORMAL2-IM-0454-0001.jpeg.1s4p56dc

ID: 12933411

Label: normal

person640_bacteria_2532.jpeg.1s4s7n4c

ID: 12931326

Label: bacteria

person1405_virus_2408.jpeg.1s4pf4ln

ID: 12932486

Label: virus

NORMAL2-IM-0832-0001.jpeg.1s4p2ubl

ID: 12933724

Label: normal

person439_virus_890.jpeg.1s4peolb

ID: 12932946

Label: virus

Model accuracy (Unoptimized (float32))

Validation set

78.7%

Test set

64.9%

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

Latency

1675 ms.

Peak RAM usage

265.4K

Flash usage

165.0K

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Dataset summary

Data collected

4,729 items

Labels

bacteria, normal, virus

Project info

Project ID	18340
Project version	2
License	No license attached
No. of views	102,813
No. of clones	20