Evaluating metrics F1, F2, Mean Average Precision for object detection












1












$begingroup$


Up today in the company where I work we are using the F1 Score for evaluating the performance of our model, also our competitor's using the same metric.




  1. I would like to understand what's the difference between F1,F2 and mAP?(Please do not explain me how to calculate them, also I know that F measure gives the same weight to the precision and recall while mAP choose the best precision from all recalls)


  2. Why in competitions (e.g. PASCAL VOC) and articles for object detection I am reading it is always preferred to use mAP instead of F1 or F2 scores ?



Thanks !






machine-learning deep-learning







share|improve this question











$endgroup$












  • $begingroup$
    The given link below gives a pretty good idea litigationsupporttipofthenight.com/single-post/2016/06/13/…
    $endgroup$
    – prativa
    18 hours ago
















1












$begingroup$


Up today in the company where I work we are using the F1 Score for evaluating the performance of our model, also our competitor's using the same metric.




  1. I would like to understand what's the difference between F1,F2 and mAP?(Please do not explain me how to calculate them, also I know that F measure gives the same weight to the precision and recall while mAP choose the best precision from all recalls)


  2. Why in competitions (e.g. PASCAL VOC) and articles for object detection I am reading it is always preferred to use mAP instead of F1 or F2 scores ?



Thanks !






machine-learning deep-learning







share|improve this question











$endgroup$












  • $begingroup$
    The given link below gives a pretty good idea litigationsupporttipofthenight.com/single-post/2016/06/13/…
    $endgroup$
    – prativa
    18 hours ago














1












1








1





$begingroup$


Up today in the company where I work we are using the F1 Score for evaluating the performance of our model, also our competitor's using the same metric.




  1. I would like to understand what's the difference between F1,F2 and mAP?(Please do not explain me how to calculate them, also I know that F measure gives the same weight to the precision and recall while mAP choose the best precision from all recalls)


  2. Why in competitions (e.g. PASCAL VOC) and articles for object detection I am reading it is always preferred to use mAP instead of F1 or F2 scores ?



Thanks !






machine-learning deep-learning







share|improve this question











$endgroup$




Up today in the company where I work we are using the F1 Score for evaluating the performance of our model, also our competitor's using the same metric.




  1. I would like to understand what's the difference between F1,F2 and mAP?(Please do not explain me how to calculate them, also I know that F measure gives the same weight to the precision and recall while mAP choose the best precision from all recalls)


  2. Why in competitions (e.g. PASCAL VOC) and articles for object detection I am reading it is always preferred to use mAP instead of F1 or F2 scores ?



Thanks !






machine-learning deep-learning




machine-learning deep-learning






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Aug 14 '18 at 6:22







Stav Bodik

















asked Aug 14 '18 at 6:16









Stav BodikStav Bodik

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1084












  • $begingroup$
    The given link below gives a pretty good idea litigationsupporttipofthenight.com/single-post/2016/06/13/…
    $endgroup$
    – prativa
    18 hours ago


















  • $begingroup$
    The given link below gives a pretty good idea litigationsupporttipofthenight.com/single-post/2016/06/13/…
    $endgroup$
    – prativa
    18 hours ago
















$begingroup$
The given link below gives a pretty good idea litigationsupporttipofthenight.com/single-post/2016/06/13/…
$endgroup$
– prativa
18 hours ago




$begingroup$
The given link below gives a pretty good idea litigationsupporttipofthenight.com/single-post/2016/06/13/…
$endgroup$
– prativa
18 hours ago










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AP is more accurate than the F scores because it considers the PR relation globally. Articles adopt mAP on VOC because it is the official metric and they have to do comparison with other methods which also adopt this metric. Other competetitons such as some text detections also adopt P R and F score as the default metrics.






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    $begingroup$

    AP is more accurate than the F scores because it considers the PR relation globally. Articles adopt mAP on VOC because it is the official metric and they have to do comparison with other methods which also adopt this metric. Other competetitons such as some text detections also adopt P R and F score as the default metrics.






    share|improve this answer









    $endgroup$


















      1












      $begingroup$

      AP is more accurate than the F scores because it considers the PR relation globally. Articles adopt mAP on VOC because it is the official metric and they have to do comparison with other methods which also adopt this metric. Other competetitons such as some text detections also adopt P R and F score as the default metrics.






      share|improve this answer









      $endgroup$
















        1












        1








        1





        $begingroup$

        AP is more accurate than the F scores because it considers the PR relation globally. Articles adopt mAP on VOC because it is the official metric and they have to do comparison with other methods which also adopt this metric. Other competetitons such as some text detections also adopt P R and F score as the default metrics.






        share|improve this answer









        $endgroup$



        AP is more accurate than the F scores because it considers the PR relation globally. Articles adopt mAP on VOC because it is the official metric and they have to do comparison with other methods which also adopt this metric. Other competetitons such as some text detections also adopt P R and F score as the default metrics.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Aug 19 '18 at 6:32









        lzx1413lzx1413

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