Python library for Object Detection metrics.

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

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).

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.

Implementing the training pipeline for YOLOv4 using PyTorch

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

Evaluation for object detection models

Most popular metrics used to evaluate object detection algorithms.

Segmentation of COVID-19 lession on chest CT images

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

Evaluate a detection model performance

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

Description of computing object tracking metrics.

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

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

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.

All scripts related to yoloV4 sliding window

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