💡[Feature]: Drone Detection using YOLO

[sreevidya-16]

Is there an existing issue for this?

• [X] I have searched the existing issues

Feature Description

• This project aims to train models for object detection, specifically targeting drone detection. Utilizing State of the Art (SOTA) architectures based on the YOLO (You Only Look Once) technique, it focuses on the efficiency and accuracy of real-time object detection.
• Effective drone detection is crucial for various applications, including security, surveillance, and airspace management. The project addresses challenges such as distinguishing drones from other flying objects and accurately detecting them in different environmental conditions.
• By leveraging advanced YOLO-based architectures, the project seeks to enhance detection performance and speed, making it practical for real-world applications.

@sanjay-kv could you please assign me this issue under GSSOC'24

Priority

High

Record

• [X] I have read the Contributing Guidelines
• [X] I'm a GSSOC'24 contributor
• [X] I want to work on this issue

[github-actions[bot]]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

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[sreevidya-16]

740 issue has been resolved by this Pull Request

@sanjay-kv Sir, Kindly view this and merge

[github-actions[bot]]

Hello @sreevidya-16! Your issue #702 has been closed. Thank you for your contribution!