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A web-based application that enables users to upload transportation-related images (such as traffic camera images) and perform object detection on those images.

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chhavijs/TransportVisionAI

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TransportVisionAI

DEMO VIDEO OF MY PROJECT

-TVA.zip

This web application allows users to upload transportation-related images, such as traffic camera images, and perform object detection on those images. The application is built using HTML, CSS, JavaScript, and Flask.

Testing

To test the web application locally, follow these steps:

  1. Ensure that the Flask server is running.

  2. Upload transportation-related images using the provided form.

  3. Verify that the uploaded images are displayed in the "Original Image" section.

  4. Verify that object detection is performed on the uploaded images, and the processed images are displayed in the "Processed Image" section.

  5. Test other features and functionalities of the application to ensure they work as expected.

Dependencies

  • Flask: Python web framework for building the backend server.
  • OpenCV: Library for computer vision and image processing tasks.
  • jQuery: JavaScript library for simplifying HTML document traversal and manipulation.
  • Bootstrap: Front-end framework for building responsive and mobile-first websites.

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A web-based application that enables users to upload transportation-related images (such as traffic camera images) and perform object detection on those images.

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