Most popular metrics used to evaluate object detection algorithms.
#计算机科学#mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box ...
A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
Function to calculate mAP for set of detected boxes and annotated boxes.
PyTorch-Based Evaluation Tool for Co-Saliency Detection
This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.
#计算机科学#A Python evaluation metrics package for surgical action triplet recognition
ML/CNN Evaluation Metrics Package
#计算机科学#Python library for Object Detection metrics.
A simple script to calculate the mAP using PascalVOC2012 and COCO standards for object detection
#计算机科学#PR曲線を用いた平均適合率の計算の方法についての説明と、実装による理解の確認を行います。
Understanding of use of mAP as a metric for Objects Detection problems
#计算机科学#YOLOV8 - Object detection
#计算机科学#Built various machine learning models for banks to develop effective credit rating
#算法刷题#[공모전] 제1회 산학연계 공모전 - 고객과 가사도우미 매칭 성공 여부 예측 AI 모델 개발
In this Power Bi project, all the data has been compared using different shifts and the delayed time. Here the range of the upper bound is also analyzed where the maximum upper bound is predicted in t...
My first machine learning project.
Performed feature engineering, cross-validation (5 fold) on baseline and cost-sensitive (accounting for class imbalance) Decision trees and Logistic Regression models and compared performance. Used ap...
This is a novel average precision calculation named hybrid N-point interpolation method to eliminate the average precision distortion in KITTI 3D Object Detection Benchmark.