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The precision-recall curve of the Faster R-CNN training process. The mAP of the main collection is the average of the average precisions from all classes. When the mAP value is closer to 100%, Faster R-CNN identification is more precise. mAP: Mean average precision; R-CNN: Region-based convolutional neural network.
