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Should images with multiple objects of the same class be used as training sample for multi-classes object detection models?



2019 Community Moderator ElectionHow to predict on part of image after training on other part of image?How do CNNs use a model and find the object(s) desired?Python : Feature Matching + Homography to find Multiple Objects“other” class in Image classificationHow to train model on specific classes from dataset for object detection?How to train object detection system for 2 classes having two seperate datasets for each class?Odd Loss Curves for Object Detection TaskIssues with training SSD on own datasetwhat is the best approach to detect small objects with similar shape?










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Let's say the model try to detect all the grapes on a branch of grapes. Can I use images of a grape branch with all the grapes labeled as a training sample? Will it affect the quality of the RPN ? Is it better to train on images which a single or a few grapes in it, since the classification is done separately on each slide of the image?






training computer-vision multiclass-classification object-detection







share|improve this question









$endgroup$
















    0












    $begingroup$


    Let's say the model try to detect all the grapes on a branch of grapes. Can I use images of a grape branch with all the grapes labeled as a training sample? Will it affect the quality of the RPN ? Is it better to train on images which a single or a few grapes in it, since the classification is done separately on each slide of the image?






    training computer-vision multiclass-classification object-detection







    share|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      Let's say the model try to detect all the grapes on a branch of grapes. Can I use images of a grape branch with all the grapes labeled as a training sample? Will it affect the quality of the RPN ? Is it better to train on images which a single or a few grapes in it, since the classification is done separately on each slide of the image?






      training computer-vision multiclass-classification object-detection







      share|improve this question









      $endgroup$




      Let's say the model try to detect all the grapes on a branch of grapes. Can I use images of a grape branch with all the grapes labeled as a training sample? Will it affect the quality of the RPN ? Is it better to train on images which a single or a few grapes in it, since the classification is done separately on each slide of the image?






      training computer-vision multiclass-classification object-detection




      training computer-vision multiclass-classification object-detection






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Mar 29 at 3:51









      Hoang Dang TuanHoang Dang Tuan

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