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

All scripts related to yoloV4 sliding window

Evaluation for object detection models

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.

Implementing the training pipeline for YOLOv4 using PyTorch

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).

Using Faster RCNN to detect Scratches/Spots and Dents on damaged cars data

Python library for Object Detection metrics.

Evaluate a detection model performance

Segmentation of COVID-19 lession on chest CT images

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

Description of computing object tracking metrics.

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

Evaluates a given detection by calculating the mAP of the bounding box detections results based on a given test set and the detector code. This repo uses for now the yolov3_detector as an example detector for illustration

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

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

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

Information Retrieval with Vector Space Model for News Article