average-precision topic
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
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...
Mean-Average-Precision-for-Boxes
Function to calculate mAP for set of detected boxes and annotated boxes.
eval-co-sod
PyTorch-Based Evaluation Tool for Co-Saliency Detection
ROADMAP
This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.
globox
A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.