mean-average-precision

rafaelpadilla/review_object_detection_metrics

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 formats as in COCO, PASCAL, Imagenet, etc.

laclouis5/globox

A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.

kuixu/pytorch_online_plotter

Online meter ploter for pytorch. Real time ploting Accuracy, Loss, mAP, AUC, Confusion Matrix

abuwildanm/Information-Retrieval

Information Retrieval with Vector Space Model for News Article

aifenaike/Semantic_Search_and_Retrieval

A Query-Document pair ranking system using GloVe embeddings and RankCosine.

EMalagoli92/OD-Metrics

Python library for Object Detection metrics.

sichkar-valentyn/What-is-mAP-for-Objects-Detection-tasks-

Understanding of use of mAP as a metric for Objects Detection problems

ArDoCo/Metrics

ArDoCo: Metrics for Classification & Ranking Tasks

matin-ghorbani/Mean-Average-Precision-from-Scratch

Mean Average Precision from Scratch using PyTorch

RimTouny/Single-Object-Tracking-with-Yolov8

In computer vision, this project meticulously constructs a dataset for precise 'Shoe' tracking using YOLOv8 models. Emphasizing detailed data organization, advanced training, and nuanced evaluation, it provides comprehensive insights. A final project for the Computer Vision cousre on Ottawa Master's in (2023).

4prince8/Object_Detection_Yolov10

This repository contains a Jupyter notebook. It demonstrates the process of training and evaluating a YOLOv10 model for object detection using the Rock, Paper, Scissors dataset from Roboflow.

ahmedhajyahmed/yolo_sliding_window

All scripts related to yoloV4 sliding window

Anjali001/Information-Retrieval-Data-Mining

Information retrieval system that gives ranked results when a query is given

Berozain/LuceneCISI

Information Retrieval with Lucene and CISI dataset. Index documents and search between them with IB, DFR, BM-25, TF-IDF, Boolean, Axiomatic, LM-Dirichlet similarity and calculate Recall, Precision, MAP (Mean Average Precision) and F-Measure

ShreshthSaxena/Faster-RCNN

Using Faster RCNN to detect Scratches/Spots and Dents on damaged cars data

takehiro-code/SFU-HW-Tracks

Description of computing object tracking metrics.

TmohamedashrafT/Yolov4-implementation

Implementing the training pipeline for YOLOv4 using PyTorch

xu-chris/yolov3_evaluator

Evaluates a given detection by calculating the mAP of the bounding box detections results based on a given test set and the detector code. This repo uses for now the yolov3_detector as an example detector for illustration

Xu-Justin/detection-benchmark

Evaluate a detection model performance

Nyble23/Relevance-Feedback

Ribosome-rbx/Realtime-Medical-Mask-Detection-Based-on-Faster-RCNN

Based on Faster R-CNN, we train model on our mask dataset and leverage data augmentation to preprocess our data. Mean average precision is introduced to evaluate the model performance. You'll see data augmentation and mAP evaluation in detailed explainations, and tutorials of faster-rcnn training

Wb-az/Experimental-Design-and-Evaluation-of-Deep-Learning-Models-for-COVID-19-Segmentation-and-Detection-

Segmentation of COVID-19 lession on chest CT images

Wb-az/Image-Processing-PascalVOC

Object detection and instant segmentation - Pascal VOC dataset

aquapapaya/TVM-object-detection

A flow to compile YOLOv3/SSD using TVM and run the compiled model on CPU to calculate mAP

PD-Mera/object-detection-validation

Evaluation for object detection models

sathvikg/imformation-retrieval-using-elasticsearch

Improving the performance of the information retrieval system by normalization of data .Elasticsearch engine was used and bm25 model was used to compare the performance of the IR system.