nigerian-headwear
Detecting Native Headwear worn in Nigeria using Computer Vision
Science Score: 26.0%
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○Scientific vocabulary similarity
Low similarity (7.9%) to scientific vocabulary
Repository
Detecting Native Headwear worn in Nigeria using Computer Vision
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 5
- Releases: 0
Metadata Files
README.md
Nigerian Native Headwear Detection: Project Overview
The purpose of this project was to use Object Detection (Computer Vision) detect some of the most popular traditional headgears worn in Nigeria namely; * Abeti Aja from the South West, * Awolowo from the South West, * Fila from the South West, * Gele from the South West; * Fula from the North; * Okpu-Ozo from the South-East * Okpu-Agu from the South-East * the Turban
Used Google Web Scraper to collect the data/images
Performed data-label annonatation using Label Studio
Used YoloV5 to train Object Detection model on the dataset
Model Performamce
Confusion Matrix
F1_curve
PR_curve
How to Detect Images
- Clone repo and install requirements.txt in a Python>=3.7.0 environment, including PyTorch>=1.7.
bash
git clone https://github.com/EyimofeP/nigerian-headwear # clone
cd yolov5
pip install -r requirements.txt # install
Add the images or videos you want to detect in the
detect-img/folderRun this command in your terminal
bash python detect.py --weights best.pt --source detect-img/img-name.jpg detect-img/img-video.mp4 'https://youtu.be/Zgi9g1ksQHc' # YouTube 0 #WebcamGo to the
runs/detect/folder to see the results!
Owner
- Name: Eyimofe Ayo Pinnick
- Login: itsekiri-tatashe
- Kind: user
- Website: https://eyimofep.github.io/
- Repositories: 1
- Profile: https://github.com/itsekiri-tatashe
A young driven engineer, passionate about using Machine Learning to innovate and solve tackling issues in the world.