mAP using Tensorflow object detection API












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After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection model Zoo page(which can be accessed at https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md), the mAP's for various models are 100 times the value I have obtained but when I look at my model's predictions on the test set, they are actually pretty good. Should I multiply the value which I have obtained by 100 or is there something wrong with the model that I have trained?










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    $begingroup$


    After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection model Zoo page(which can be accessed at https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md), the mAP's for various models are 100 times the value I have obtained but when I look at my model's predictions on the test set, they are actually pretty good. Should I multiply the value which I have obtained by 100 or is there something wrong with the model that I have trained?










    share|improve this question









    New contributor




    Jitesh Malipeddi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















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      2





      $begingroup$


      After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection model Zoo page(which can be accessed at https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md), the mAP's for various models are 100 times the value I have obtained but when I look at my model's predictions on the test set, they are actually pretty good. Should I multiply the value which I have obtained by 100 or is there something wrong with the model that I have trained?










      share|improve this question









      New contributor




      Jitesh Malipeddi is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      After I train my object detector using the Tensorflow object detection API(to detect only cars), I get an mAP value around 0.32 while running the eval.py script. However, in the Tensorflow Detection model Zoo page(which can be accessed at https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md), the mAP's for various models are 100 times the value I have obtained but when I look at my model's predictions on the test set, they are actually pretty good. Should I multiply the value which I have obtained by 100 or is there something wrong with the model that I have trained?







      python tensorflow object-detection






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      edited yesterday







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      asked 2 days ago









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