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Object Detection Metrics ⭐ 4,693

Most popular metrics used to evaluate object detection algorithms.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Review_object_detection_metrics ⭐ 939

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.

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

Mean Average Precision For Boxes ⭐ 121

Function to calculate mAP for set of detected boxes and annotated boxes.

This repository contains the official implementation of the NeurIPS'21 paper, ROADMAP: Robust and Decomposable Average Precision for Image Retrieval.

Eval Co Sod ⭐ 16

PyTorch-Based Evaluation Tool for Co-Saliency Detection

Ivtmetrics ⭐ 6

A Python evaluation metrics package for surgical action triplet recognition

Evaluation Metrics Package Tensorflow Pytorch Keras ⭐ 6

ML/CNN Evaluation Metrics Package

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