Nilanjan Mandal / Wounded Animal Detection Public

Target: Cortex-M4F 80MHz Clone this project

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Wounded Animal Detection

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About this project

Wounded animal detection in wild using Kria KV260 and Edge Impulse

Data (92 items)

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injured_animal53.jpg.2vcevo41

ID: 86806273

Label: Wounded

background30.jpg.2vcf1e1k

ID: 86806218

Label: Background

injured_animal61.jpg.2vcevre9

ID: 86806242

Label: Wounded

injured_animal59.jpg.2vcevlv4

ID: 86806285

Label: Wounded

injured_animal15.jpg.2vcevq48

ID: 86806264

Label: Wounded

injured_animal5.jpg.2vcevr6c

ID: 86806244

Label: Wounded

background26.jpg.2vcf1dsl

ID: 86806223

Label: Background

injured_animal27.jpg.2vcevqh2

ID: 86806260

Label: Wounded

Model accuracy (Unoptimized (float32))

Validation set

86.7%

Test set

89.5%

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

Latency

1092 ms.

Peak RAM usage

733.2K

Flash usage

627.7K

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Dataset summary

Data collected

92 items

Labels

Background, Wounded

Project info

Project ID	90814
Project version	1
License	No license attached
No. of views	22,884
No. of clones	78