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Most popular metrics used to evaluate object detection algorithms.
Created
2018-05-23
104 commits to master branch, last one about a year ago
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Created
2018-03-08
114 commits to master branch, last one 4 years ago
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 ...
Created
2020-11-11
204 commits to main branch, last one about a year ago
A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
Created
2021-08-10
304 commits to main branch, last one 2 months ago
Function to calculate mAP for set of detected boxes and annotated boxes.
Created
2019-09-22
16 commits to master branch, last one about a month ago
This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.
Created
2021-04-16
13 commits to main branch, last one about a year ago