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fix TP and FP explanation - take classification labels into account
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  • TP: are the Bounding Boxes (BB) that the intersection over union (IoU) with the ground truth (GT) is above 0.5 and are classified correctly
  • FP: twothree cases (a) BB that the IoU with GT is below 0.5 (b) the BB that have IoU with a GT that has already been detected (c) BB with wrong classification label.
  • TN: there are not true negative, the image are expected to contain at least one object
  • FN: those ground truthes for which the method failed to produce a BB
  • TP: are the Bounding Boxes (BB) that the intersection over union (IoU) with the ground truth (GT) is above 0.5
  • FP: two cases (a) BB that the IoU with GT is below 0.5 (b) the BB that have IoU with a GT that has already been detected.
  • TN: there are not true negative, the image are expected to contain at least one object
  • FN: those ground truthes for which the method failed to produce a BB
  • TP: are the Bounding Boxes (BB) that the intersection over union (IoU) with the ground truth (GT) is above 0.5 and are classified correctly
  • FP: three cases (a) BB that the IoU with GT is below 0.5 (b) the BB that have IoU with a GT that has already been detected (c) BB with wrong classification label.
  • TN: there are not true negative, the image are expected to contain at least one object
  • FN: those ground truthes for which the method failed to produce a BB
  • TP: are the Bounding Boxes (BB) that the intersection over union (IoU) with the ground truth (GT) is above 0.5
  • FP: two cases (a) BB that the IoU with GT is below 0.5 (b) the BB that have IoU with a GT that has already been detected.
  • TN: there are not true negative, the image are expected to contain at least one object
  • FN: those images wereground truthes for which the method failed to produce a BB
  • TP: are the Bounding Boxes (BB) that the intersection over union (IoU) with the ground truth (GT) is above 0.5
  • FP: two cases (a) BB that the IoU with GT is below 0.5 (b) the BB that have IoU with a GT that has already been detected.
  • TN: there are not true negative, the image are expected to contain at least one object
  • FN: those images were the method failed to produce a BB
  • TP: are the Bounding Boxes (BB) that the intersection over union (IoU) with the ground truth (GT) is above 0.5
  • FP: two cases (a) BB that the IoU with GT is below 0.5 (b) the BB that have IoU with a GT that has already been detected.
  • TN: there are not true negative, the image are expected to contain at least one object
  • FN: those ground truthes for which the method failed to produce a BB
Rollback to Revision 7 - Edit approval overridden by post owner or moderator
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Dani Mesejo
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BB  | confidence | GT
----------------------
BB1 |  0.9       | 1
----------------------
BB2 |  0.9       | 1
----------------------
BB1 |  0.8       | 1
----------------------
BB3 |  0.7       | 0
----------------------
BB4 |  0.7       | 0
----------------------
BB5 |  0.7       | 1
----------------------
BB6 |  0.7       | 0
----------------------
BB7 |  0.7       | 0
----------------------
BB8 |  0.7       | 1
----------------------
BB9 |  0.7       | 1
----------------------
BB  | confidence | GT
----------------------
BB1 |  0.9       | 1
----------------------
BB2 |  0.9       | 1
----------------------
BB1 |  0.8       | 1
----------------------
BB3 |  0.7       | 0
----------------------
BB4 |  0.7       | 0
----------------------
BB5 |  0.7       | 1
----------------------
BB6 |  0.7       | 0
----------------------
BB7 |  0.7       | 0
----------------------
BB8 |  0.7       | 1
----------------------
BB9 |  0.7       | 1
----------------------
BB  | confidence | GT
----------------------
BB1 |  0.9       | 1
----------------------
BB2 |  0.9       | 1
----------------------
BB3 |  0.7       | 0
----------------------
BB4 |  0.7       | 0
----------------------
BB5 |  0.7       | 1
----------------------
BB6 |  0.7       | 0
----------------------
BB7 |  0.7       | 0
----------------------
BB8 |  0.7       | 1
----------------------
BB9 |  0.7       | 1
----------------------
add back one necessary line in the bbox table to help understanding
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Add two different mAP computation ways before and after voc2010
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Bounty Ended with 50 reputation awarded by Alex
added 43 characters in body
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Dani Mesejo
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corrected spelling
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Dani Mesejo
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  • 19
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Dani Mesejo
  • 2.2k
  • 13
  • 19
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