average-precision
There are 0 repository under average-precision topic.
rafaelpadilla / Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
Language:Python 4832Cartucho / mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Language:Python 2852Object 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 formats as in COCO, PASCAL, Imagenet, etc.
Language:Python 1004laclouis5 / globox
A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
Language:Python 149ZFTurbo / Mean-Average-Precision-for-Boxes
Function to calculate mAP for set of detected boxes and annotated boxes.
Language:Python 125zzhanghub / eval-co-sod
PyTorch-Based Evaluation Tool for Co-Saliency Detection
Language:Python 91elias-ramzi / ROADMAP
This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.
Language:Python 71CAMMA-public / ivtmetrics
A Python evaluation metrics package for surgical action triplet recognition
Language:Python 10Mr-TalhaIlyas / Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras
ML/CNN Evaluation Metrics Package
shreejalt / mAP-calculator
A simple script to calculate the mAP using PascalVOC2012 and COCO standards for object detection
Language:Python 4KentaItakura / how-to-calculate-average-precision-for-object-detection
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。
sichkar-valentyn / What-is-mAP-for-Objects-Detection-tasks-
Understanding of use of mAP as a metric for Objects Detection problems
Language:Jupyter Notebook 3saha350 / Uber_Traffic_Data_Analysis
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 the morning shift compared to mid-day and evening shift. The delay time in morning (A.M.) and Evening (P.M.) ranges have also been predicted.
Wb-az / YOLOv8-Image-detection
YOLOV8 - Object detection
Language:Jupyter Notebook 1zhousrhhh / Credit_Rating_Modeling
Built various machine learning models for banks to develop effective credit rating
Language:Jupyter Notebook 1karthikvadlamani / revolut-fraudsters-detection
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 appropriate performance metrics i.e., AUC ROC, Average Precision and Balanced Accuracy. Outperformed baseline model.
Language:Jupyter Notebook 0Sliverk / hybridAveragePrecision
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.
Language:Python 0PD-Mera / object-detection-validation
Evaluation for object detection models
Language:Pythonxavierfactor / Diabetes-Predictive-Analytics
(Python) ML models that predict diabetic status
Language:Jupyter Notebookxinguanca / MLproject_creditcardfraud
My first machine learning project.
Language:Jupyter Notebook