Most popular metrics used to evaluate object detection algorithms.
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.
Online meter ploter for pytorch. Real time ploting Accuracy, Loss, mAP, AUC, Confusion Matrix
Information Retrieval with Vector Space Model for News Article
Python library for Object Detection metrics.
Mean Average Precision from Scratch using PyTorch
Evaluate a detection model performance
Description of computing object tracking metrics.
Evaluation for object detection models
A flow to compile YOLOv3/SSD using TVM and run the compiled model on CPU to calculate mAP
Video labeler for Training and Testing Computer Vision Models
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