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fix ref values (#1869)
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models/intel/person-detection-action-recognition-0005/description/person-detection-action-recognition-0005.md

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@@ -12,8 +12,8 @@ This is an action detector for the Smart Classroom scenario. It is based on the
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| Metric | Value |
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|-----------------------------------|-------------------------------------------|
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| Detector AP (internal test set 2) | 82.79% |
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| Accuracy (internal test set 2) | 93.55% |
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| Detector AP (internal test set 2) | 80.0% |
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| Accuracy (internal test set 2) | 83.8% |
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| Pose coverage | Sitting, standing, raising hand |
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| Support of occluded pedestrians | YES |
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| Occlusion coverage | <50% |

models/intel/person-detection-action-recognition-teacher-0002/description/person-detection-action-recognition-teacher-0002.md

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@@ -12,8 +12,8 @@ This is an action detector for the Smart Classroom scenario. It is based on the
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| Metric | Value |
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|-----------------------------------|----------------------------------|
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| Detector AP (internal test set 2) | 77.11% |
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| Accuracy (internal test set 1) | 92.64% |
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| Detector AP (internal test set 2) | 80.0% |
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| Accuracy (internal test set 1) | 72.4% |
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| Pose coverage | Standing, writing, demonstrating |
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| Support of occluded pedestrians | YES |
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| Occlusion coverage | <50% |

models/intel/person-detection-asl-0001/description/person-detection-asl-0001.md

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@@ -12,7 +12,7 @@ This is a person detector for the ASL Recognition scenario. It is based on Shuff
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| Metric | Value |
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|---------------------------------|-------------------------------------------|
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| Persons AP on MS-COCO\* | 77.68% |
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| Persons AP on MS-COCO\* | 80.0% |
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| Minimal person height | 100 pixel |
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| GFlops | 0.986 |
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| MParams | 1.338 |

models/intel/person-detection-raisinghand-recognition-0001/description/person-detection-raisinghand-recognition-0001.md

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@@ -12,8 +12,8 @@ This is an action detector for the Smart Classroom scenario. It is based on the
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| Metric | Value |
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|-----------------------------------|-------------------------------------------|
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| Detector AP (internal test set 2) | 81.50% |
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| Accuracy (internal test set 2) | 94.93% |
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| Detector AP (internal test set 2) | 80.0% |
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| Accuracy (internal test set 2) | 90.5% |
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| Pose coverage | Sitting, standing, raising hand |
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| Support of occluded pedestrians | YES |
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| Occlusion coverage | <50% |

models/intel/vehicle-detection-0202/description/vehicle-detection-0202.md

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@@ -14,7 +14,7 @@ prior boxes for 512x512 resolution.
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| Metric | Value |
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|---------------------------------|-------------------------------------------|
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| AP @ [ IoU=0.50:0.95 ] | 0.369 (internal test set) |
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| AP @ [ IoU=0.50:0.95 ] | 0.36 (internal test set) |
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| GFlops | 3.143 |
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| MParams | 1.817 |
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| Source framework | PyTorch\* |

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