张量板图召回 [英] Tensorboard graph recall
问题描述
我正在训练一个物体检测器,并运行了评估工作.我在张量板中看到了某些图表.如图所示,tensorflowboard 中的 DetectionBoxes_Recall/AR@10 vs AR@100 vs AR@100(medium) 是什么.DetectionBoxes_Precision/mAP、mAP(大)、mAP(中)、mAP(小)、mAP(0.50IOU)和mAP(0.75IOU)之间有什么区别?请帮助我对此很陌生,谢谢.
I am training an object detector and I ran the evaluation job. I see certain graphs in the tensorboard. What is DetectionBoxes_Recall/AR@10 vs AR@100 vs AR@100(medium) in the tensorflowboard as shown. And what is the difference between DetectionBoxes_Precision/mAP, mAP(large), mAP(medium), mAP(small), mAP(0.50IOU) and mAP(0.75IOU)? Please help I am very new to this thank you.
推荐答案
'DetectionBoxes_Precision/mAP':平均精度在 IOU 阈值范围从 0.5 到 0.95,增量为 0.05 的范围内平均.
'DetectionBoxes_Precision/mAP': mean average precision over classes averaged over IOU thresholds ranging from .5 to .95 with .05 increments.
'DetectionBoxes_Precision/mAP@.50IOU':50% IOU 时的平均精度
'DetectionBoxes_Precision/mAP@.50IOU': mean average precision at 50% IOU
'DetectionBoxes_Precision/mAP@.75IOU':75% IOU 时的平均精度
'DetectionBoxes_Precision/mAP@.75IOU': mean average precision at 75% IOU
'DetectionBoxes_Precision/mAP (small)':小物体(面积 <32^2 像素)的平均精度.
'DetectionBoxes_Precision/mAP (small)': mean average precision for small objects (area < 32^2 pixels).
'DetectionBoxes_Precision/mAP (medium)':中等大小物体的平均精度(32^2 像素 <面积 <96^2 像素).
'DetectionBoxes_Precision/mAP (medium)': mean average precision for medium sized objects (32^2 pixels < area < 96^2 pixels).
'DetectionBoxes_Precision/mAP (large)':大型物体的平均精度(96^2 像素 <面积 <10000^2 像素).
'DetectionBoxes_Precision/mAP (large)': mean average precision for large objects (96^2 pixels < area < 10000^2 pixels).
'DetectionBoxes_Recall/AR@1':1 次检测的平均召回率.
'DetectionBoxes_Recall/AR@1': average recall with 1 detection.
'DetectionBoxes_Recall/AR@10':10 次检测的平均召回率.
'DetectionBoxes_Recall/AR@10': average recall with 10 detections.
'DetectionBoxes_Recall/AR@100':100 次检测的平均召回率.
'DetectionBoxes_Recall/AR@100': average recall with 100 detections.
'DetectionBoxes_Recall/AR@100(小)':100个小物体的平均召回率.
'DetectionBoxes_Recall/AR@100 (small)': average recall for small objects with 100.
'DetectionBoxes_Recall/AR@100 (medium)':中等对象的平均召回率为 100.
'DetectionBoxes_Recall/AR@100 (medium)': average recall for medium objects with 100.
'DetectionBoxes_Recall/AR@100 (large)':100 次检测的大对象的平均召回率.
'DetectionBoxes_Recall/AR@100 (large)': average recall for large objects with 100 detections.
这篇关于张量板图召回的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!