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

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

Enterprise 2023-12-16 23:51:20 views: null

Table of contents

1 Precision and recall
2 Drawing of P-R curve
3 AP R11 and AP R40 standards
4 actual cases

1 Precision and recall

given first $TP$ 、

Guess you like

Origin blog.csdn.net/FRIGIDWINTER/article/details/132713122

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

General target detection benchmark data set and its evaluation index introduction|Detection Benchmarks

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

Target detection performance evaluation index

(1) KITTI dataset for 3D target detection

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

Analysis of HPatches data set and feature point detection matching evaluation index

04- Evaluation index mAP (target detection)

[Target detection] Custom Dataset method (VOC data set) - pytorch implementation

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

Target Detection - Production data set

[Keras computer vision] Faster R-CNN neural network realizes target detection practice (with source code and super detailed data set)

Introduction of kitti dataset in 3D target detection (2) Detailed visualization

3D target detection dataset KITTI (label format analysis, point cloud to image, point cloud to BEV)

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

[Machine Vision] Target Detection Evaluation Index and Its Realization

Target Detection Evaluation Criteria

Dividing the data set into target detection label boundingbox

Target detection algorithm --- divide the data set into training set and verification set

[Target detection] Evaluation indicators for target detection (seven)

[Target Detection] Visdrone data set and CARPK data set preprocessing

KITTI data set

kitti data set preprocessing

Visual SLAM data set (3): KITTI data set

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

Performance evaluation of target detection and classification

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

Calculation of AP and MAP in target detection

[Face detection] Tinaface reproduction (data set preparation, testing and evaluation)

Target detection --Faster R-CNN Detailed, Pytorch build, own training data set

Recommended

Ranking

ElasticSearch-- data modeling best practices

Permission Maintenance - Shadow User Backdoor

Refactor the code using MVP mode

Quantitative investment-fundamental model-PVC multi-factor model

Spark Big Data Processing Lecture Notes 3.2 Mastering RDD Operators

Blazor page components (2)

Erlernen von Kenntnissen zur Android-Entwicklung – Kodierung, Verschlüsselung, Hash, Serialisierung und Zeichensätze

About Qi high in JAVA study notes SORM summary detailed personal explanation

Will you calculate the accuracy of the rope displacement sensor in the measurement?

OPENJTAG debugging learning (3): debugging using the gdb command line

Daily

More

2024-05-01(4)

2024-04-30(36)

2024-04-29(5)

2024-04-28(12)

2024-04-27(29)

2024-04-26(22)

2024-04-25(32)

2024-04-24(30)

2024-04-23(30)

2024-04-22(5)