Target detection evaluation index mAP: from Precision, Recall, PR curve to AP - Code World

Target detection evaluation index mAP: from Precision, Recall, PR curve to AP

Enterprise 2023-09-08 18:54:13 views: null

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Origin blog.csdn.net/Albert233333/article/details/132752216

Target detection evaluation index mAP: from Precision, Recall, PR curve to AP

Target detection evaluation indicators Precision, Recall, mAP

Python deep learning target detection evaluation indicators: mAP, Precision, Recall, AP, IOU, etc.

Evaluation criteria mAP target detection, Precision, Recall, Accuracy

Target detection calculation method and code of mAP, AP, Recall, Precision (YOLO and FastRCNN, etc.)

Machine Learning Notes (6) Classification Evaluation Index, Confusion Matrix, Precision Rate, Recall Rate, PR Curve, ROC Curve

MAP calculated target detection accuracy (IOU, AP, precision, recall) the Keras-yolo3, the most complete history! ! Attached implementation code! !

04- Evaluation index mAP (target detection)

PytorchCNN project construction 7 --- deep learning model evaluation index Accuracy, Precision, Recall, ROC curve

Precision and Recall, AP, mAP in deep learning

Detailed explanation and calculation method of evaluation index mAP in target detection

Target detection performance evaluation index

Detailed explanation of PR curve, AP, mAP, AUC, ROC curve under Object Detection

Calculation of AP and MAP in target detection

Accuracy (accuracy), precision (Precision), recall (Recall) and comprehensive evaluation index (F1-Measure) ---- turn

Semantic segmentation, target detection, change detection algorithm accuracy evaluation indicators (precision, recall, iou, Miou, FWiou, PA, MPA, F1-score, Kappa...)

sklearn classifier evaluation indicators (precision rate, confusion matrix, precious-recall-Fmeasur, ROC curve, loss function)

Target detection performance evaluation (IOU mAP)

Recall (Recall), precision (Precision), sensitivity (Sensitivity), specificity (Specificity), F1, PR curve, ROC, AUC application scenarios

Machine Learning common types of evaluation: accuracy rate (Precision), recall (Recall), F value (F-measure), ROC curve, AUC, accuracy (Accuracy)

3D target detection practice | Graphical illustration of KITTI data set evaluation index AP R40 (with Python implementation)

Python calculates the evaluation index of the classification problem (accuracy, precision, recall and F1 value, Kappa index)

Target detection detection performance evaluation (mAP, IOU, NMS)

Study Notes 3 - Evaluation Indicators for Target Detection (AC, TP, FP, FN, TN, AP, ROC, AUC, mAP, [email protected], [email protected]:.95)

[Summary of model evaluation indicators in deep learning (confusion matrix, recall, precision, F1, AUC area, ROC curve, ErrorRate)]

Detailed explanation of the evaluation index and code implementation of the target detection model

[Machine Vision] Target Detection Evaluation Index and Its Realization

[Learning] Precision and Recall depth evaluation to understand

Target Detection Evaluation Criteria

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