why running inference with tensorflow (object-detection) ssdlite gives only one detection per image?












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I trained (using a downloaded checkpoint) the ssdlite v2 pet detection on my custom recorded dataset, while running the inference, it detects only one object per image in best case.



Does the fact that all of my training data are single target images is the reason why I am getting only one detection at the time? is there a way to solve this problem? (except putting training targets together using a script or manually)






deep-learning tensorflow object-detection







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    0












    $begingroup$


    I trained (using a downloaded checkpoint) the ssdlite v2 pet detection on my custom recorded dataset, while running the inference, it detects only one object per image in best case.



    Does the fact that all of my training data are single target images is the reason why I am getting only one detection at the time? is there a way to solve this problem? (except putting training targets together using a script or manually)






    deep-learning tensorflow object-detection







    share|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      I trained (using a downloaded checkpoint) the ssdlite v2 pet detection on my custom recorded dataset, while running the inference, it detects only one object per image in best case.



      Does the fact that all of my training data are single target images is the reason why I am getting only one detection at the time? is there a way to solve this problem? (except putting training targets together using a script or manually)






      deep-learning tensorflow object-detection







      share|improve this question









      $endgroup$




      I trained (using a downloaded checkpoint) the ssdlite v2 pet detection on my custom recorded dataset, while running the inference, it detects only one object per image in best case.



      Does the fact that all of my training data are single target images is the reason why I am getting only one detection at the time? is there a way to solve this problem? (except putting training targets together using a script or manually)






      deep-learning tensorflow object-detection




      deep-learning tensorflow object-detection






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 11 mins ago









      Idriss BellilIdriss Bellil

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