Nilanjan Mandal / Wounded Animal Detection Public
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.
Sample name Expected outcome Length Accuracy Result
background18.jpg.2vcf1dr7 Background 0s 100% 1 Background
background33.jpg.2vcf1e37 Background 0s 100% 1 Background
background2.jpg.2vcf1dj5 Background 0s 100% 1 Background
background20.jpg.2vcf1dlc Background 0s 100% 1 Background
background17.jpg.2vcf1den Background 0s 100% 1 Background
background3.jpg.2vcf1dce Background 0s 100% 1 Background
background21.jpg.2vcf1d86 Background 0s 100% 1 Background
injured_animal35.jpg.2vcevssd Wounded 0s 100% 1 Wounded
injured_animal32.jpg.2vcevsn1 Wounded 0s 100% 1 Wounded
injured_animal21.jpg.2vcevrcj Wounded 0s 100% 1 Wounded
injured_animal23.jpg.2vcevrck Wounded 0s 100% 1 Wounded
injured_animal25.jpg.2vcevrc2 Wounded 0s 0% 1 uncertain
injured_animal24.jpg.2vcevrbr Wounded 0s 0% 1 Background
injured_animal9.jpg.2vcevq6p Wounded 0s 100% 1 Wounded
injured_animal47.jpg.2vcevq4c Wounded 0s 100% 1 Wounded
injured_animal1.jpg.2vcevq4c Wounded 0s 100% 1 Wounded
injured_animal52.jpg.2vcevq08 Wounded 0s 100% 1 Wounded
injured_animal49.jpg.2vcevq1g Wounded 0s 100% 1 Wounded
injured_animal60.jpg.2vcevlue Wounded 0s 100% 1 Wounded

Model testing output

Results

Model version:
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