Deep Learning-based Water Pathogen Detection using YOLOv11m

Utkarsh Dubey , Pratham Dubey , Amit Kumar Pandey , Santosh Kumar Singh

Waterborne disease, Pathogen Detection, Computer Vision, Image Processing, Roboflow, YOLOv11m.

Waterborne disease are caused by various bacteria, viruses, and protozoa these pathogens together are what we call waterborne pathogens. These diseases are a major health issue as it affects millions of people all over the world. the regions with limited access to clean water are affected the most. This paper brings a solution based on Computer Vision for the detection of water pathogens and make use of the YOLOv11m model for detection. the dataset consists of five classes which are “Astrovirus,” “Cryptosporidium,” “Giardia,” “Norovirus,” and “Rotavirus,” The dataset has total of 1507 images. These images were then split into Training Set (70%), Validation Set(20%), and Testing Set (10%) sets. The YOLOv11m model was used for detection and classification this model is pre-trained so it makes it easier to use, the model yielded following results. The model achieved a mAP of 97.8%, with precision and recall scores of 93.4% and 94.9%, respectively, on the validation set. The images were taken from “Mendeley Data” and from “Kaggle”. The images were manually labelled(Annotated) on “Roboflow” and using python library called“digitalsreeni-image-annotator 0.8.12”. This model aims to rapid detection of waterborne pathogens with high accuracy and efficiency.

Published Paper   E-Certificate

"Deep Learning-based Water Pathogen Detection using YOLOv11m", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 3, page no.b466-b477, March-2025, Available :https://ijsdr.org/papers/IJSDR2503158.pdf

Volume 10 Issue 3, March-2025

Pages : b466-b477

Paper Reg. ID: IJSDR_301129

Published Paper Id: IJSDR2503158

Downloads: 000173

Research Area: Science All

Country: Mumbai, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2503158

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2503158

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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