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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person326_virus_675.jpeg.1s4pf3nh

ID: 12932508

Label: virus

IM-0551-0001-0001.jpeg.1s4p1tgq

ID: 12934059

Label: normal

person515_bacteria_2185.jpeg.1s4s7ddr

ID: 12931797

Label: bacteria

person1513_virus_2632.jpeg.1s4pfbjt

ID: 12932305

Label: virus

person493_bacteria_2086.jpeg.1s4s7o6g

ID: 12931269

Label: bacteria

NORMAL2-IM-1342-0001.jpeg.1s4p1qeu

ID: 12934100

Label: normal

IM-0230-0001.jpeg.1s4p31nr

ID: 12933691

Label: normal

person394_bacteria_1792.jpeg.1s4s7g5t

ID: 12931670

Label: bacteria

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	100,791
No. of clones	20