Image identification examples
This is an artificial intelligence / computer vision program used to make a decision on image similarity
Original image used for algorithm training
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Decision time=0.0(s). No similarity. Type 5
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Decision time=0.0(s). No similarity. Type 5
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Decision time=0.0(s). No similarity. Type 5
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Decision time=0.0(s). No similarity. Type 3
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Decision time=0.0(s). Identical
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Decision time=3.0(s). Not fully identical. Derived from the original image. 80%
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Decision time=1.0(s). Not fully identical. Derived from the original image. 30%
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Decision time=3.0(s). Not fully identical. Derived from the original image. 95%
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Decision time=3.0(s). Not fully identical. Derived from the original image. 70%
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Decision time=5.0(s). Not fully identical. Derived from the original image. 60%
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Decision time=3.0(s). Not fully identical. Derived from the original image. 95%
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Decision time=5.0(s). Not fully identical. Derived from the original image. 60%
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Decision time=3.0(s). Not fully identical. Derived from the original image. 95%
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Decision time=3.0(s). Not fully identical. Derived from the original image. 95%
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Decision time=2.0(s). Not fully identical. Derived from the original image. 95%
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Decision time=0.0(s). No similarity. Type 5
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Decision time=0.0(s). No similarity. Type 5
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Decision time=0.0(s). No similarity. Type 5
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Decision time=48.0(s). No similarity. Type 5
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Decision time=4.0(s). Not fully identical. Derived from the original image. 60%
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Decision time=0.0(s). No similarity. Type 5
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