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 Accuracy Result
background18.jpg.2vcf1dr7 Background 100% 1 Background
background33.jpg.2vcf1e37 Background 100% 1 Background
background2.jpg.2vcf1dj5 Background 100% 1 Background
background20.jpg.2vcf1dlc Background 100% 1 Background
background17.jpg.2vcf1den Background 100% 1 Background
background3.jpg.2vcf1dce Background 100% 1 Background
background21.jpg.2vcf1d86 Background 100% 1 Background
injured_animal35.jpg.2vcevssd Wounded 100% 1 Wounded
injured_animal32.jpg.2vcevsn1 Wounded 100% 1 Wounded
injured_animal21.jpg.2vcevrcj Wounded 100% 1 Wounded
injured_animal23.jpg.2vcevrck Wounded 100% 1 Wounded
injured_animal25.jpg.2vcevrc2 Wounded 0% 1 uncertain
injured_animal24.jpg.2vcevrbr Wounded 0% 1 Background
injured_animal9.jpg.2vcevq6p Wounded 100% 1 Wounded
injured_animal47.jpg.2vcevq4c Wounded 100% 1 Wounded
injured_animal1.jpg.2vcevq4c Wounded 100% 1 Wounded
injured_animal52.jpg.2vcevq08 Wounded 100% 1 Wounded
injured_animal49.jpg.2vcevq1g Wounded 100% 1 Wounded
injured_animal60.jpg.2vcevlue Wounded 100% 1 Wounded

Model testing output

Results

Model version:
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