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This repository has been archived by the owner on Oct 31, 2023. It is now read-only.
Inference result (mAP) for COCO dataset is typically reported for all classes. I stand to be corrected if I'm wrong. Can you please guide me on the procedure to produce the mAP per class on either COCO or custom dataset for Mask RCNN?
I successfully trained Mask RCNN (R-50 FPN) on a custom dataset of 2 classes. During the evaluation, inference results display one AP for detection (Bbox) results and another for segmentation results (Segm), which I assume represents mAP for my two classes combined. How can I display mAP for each specific class (class specific mAP)? Is this possible? Please help.
The text was updated successfully, but these errors were encountered:
Inference result (mAP) for COCO dataset is typically reported for all classes. I stand to be corrected if I'm wrong. Can you please guide me on the procedure to produce the mAP per class on either COCO or custom dataset for Mask RCNN?
I successfully trained Mask RCNN (R-50 FPN) on a custom dataset of 2 classes. During the evaluation, inference results display one AP for detection (Bbox) results and another for segmentation results (Segm), which I assume represents mAP for my two classes combined. How can I display mAP for each specific class (class specific mAP)? Is this possible? Please help.
The text was updated successfully, but these errors were encountered: