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Computer Vision Project for Vehicle Detection and Classification Dashboard of Live Singapore Traffic using YOLOv11.

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Singapore Live Traffic Monitoring Using YOLOv11

Realtime website dashboard demostrating the use of YOLOv11 for vehicle detection and classification of Live Traffic Images obtained through the API exposed by the Singapore Government. The model was trained using Roboflow on a comprehensive dataset created by merging multiple annotated image datasets of Singaporean traffic from the Roboflow Universe. More info on the training process can be found in this notebook.

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demo1 demo2 demo3 demo4

Getting Started

Obtain roboflow api key and set it up as a Environment Variable in an .env file in project root:

ROBOFLOW_API_KEY=your_api_key_here

Install the required Node.js packages using the following command:

npm install

Ensure vercel CLI is installed:

npm install vercel

Login to Vercel:

vercel login

Running app locally:

vercel dev

Publish app to vercel:

vercel

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