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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Data (4,729 items)

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NORMAL2-IM-1118-0001.jpeg.1s4p1qns

ID: 12934098

Label: normal

IM-0353-0001.jpeg.1s4p3001

ID: 12933698

Label: normal

NORMAL2-IM-0682-0001.jpeg.1s4p3adp

ID: 12933640

Label: normal

person364_bacteria_1660.jpeg.1s4s7i2b

ID: 12931580

Label: bacteria

person277_bacteria_1302.jpeg.1s4s7h4h

ID: 12931622

Label: bacteria

person3_bacteria_13.jpeg.1s4s7hqn

ID: 12931592

Label: bacteria

person344_virus_705.jpeg.1s4petp4

ID: 12932699

Label: virus

NORMAL2-IM-0098-0001.jpeg.1s4pi5q2

ID: 12932091

Label: normal

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

Run this model

On any device

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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	112,849
No. of clones	20