How to compute mAP? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsWith unbalanced class, do I have to use under sampling on my validation/testing datasets?Chance Curve in Accuracy-vs-Rank Plots in matlabBest approach for image recognition/classification with few training dataHow to calculate mAP for detection task for the PASCAL VOC Challenge?Sci-kit learn function to select threshold for higher recall than precisionMulti-label classifciation: keras custom metricsYOLO: how are outputs generated and how are feature maps used?Mask RCNN detecting object but mask is inaccurateUsing a discriminator to distinguish ground truth and predicted boxes for FRCNNmAP mean average precision for 4 object per image . Can you explain it?
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How to compute mAP?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWith unbalanced class, do I have to use under sampling on my validation/testing datasets?Chance Curve in Accuracy-vs-Rank Plots in matlabBest approach for image recognition/classification with few training dataHow to calculate mAP for detection task for the PASCAL VOC Challenge?Sci-kit learn function to select threshold for higher recall than precisionMulti-label classifciation: keras custom metricsYOLO: how are outputs generated and how are feature maps used?Mask RCNN detecting object but mask is inaccurateUsing a discriminator to distinguish ground truth and predicted boxes for FRCNNmAP mean average precision for 4 object per image . Can you explain it?
$begingroup$
I would like to compute mAP. I detect only 1 class.
I know should create two array. Presicion array and recall array and plot Precision/Recall Curve (PR Curve).
Max of Groud-truth bounding boxes: 4
Max of Prediction bounding boxes: 2
Should I compute AP for one image and then sum of the AP and divide by number of images?
I use MASK RCNN. Thank you in advance.
machine-learning deep-learning convolution
asked Apr 2 at 15:58
BadumBadum
537
$endgroup$
add a comment |
$begingroup$
I would like to compute mAP. I detect only 1 class.
I know should create two array. Presicion array and recall array and plot Precision/Recall Curve (PR Curve).
Max of Groud-truth bounding boxes: 4
Max of Prediction bounding boxes: 2
Should I compute AP for one image and then sum of the AP and divide by number of images?
I use MASK RCNN. Thank you in advance.
machine-learning deep-learning convolution
asked Apr 2 at 15:58
BadumBadum
537
$endgroup$
add a comment |
$begingroup$
I would like to compute mAP. I detect only 1 class.
I know should create two array. Presicion array and recall array and plot Precision/Recall Curve (PR Curve).
Max of Groud-truth bounding boxes: 4
Max of Prediction bounding boxes: 2
Should I compute AP for one image and then sum of the AP and divide by number of images?
I use MASK RCNN. Thank you in advance.
machine-learning deep-learning convolution
asked Apr 2 at 15:58
BadumBadum
537
$endgroup$
I would like to compute mAP. I detect only 1 class.
I know should create two array. Presicion array and recall array and plot Precision/Recall Curve (PR Curve).
Max of Groud-truth bounding boxes: 4
Max of Prediction bounding boxes: 2
Should I compute AP for one image and then sum of the AP and divide by number of images?
I use MASK RCNN. Thank you in advance.
machine-learning deep-learning convolution
machine-learning deep-learning convolution
asked Apr 2 at 15:58
BadumBadum
537
asked Apr 2 at 15:58
BadumBadum
537
asked Apr 2 at 15:58
BadumBadum
537
asked Apr 2 at 15:58
BadumBadum
537
asked Apr 2 at 15:58
BadumBadum
537
537
add a comment |
add a comment |
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