Sharp image detection Computer Vision Project

Here are a few use cases for this project:

1. Photography Quality Assurance: The "Sharp image detection" model can be used by photographers or image editors who wish to automatically filter out blurry or unsharp images. This can provide a quick way to shortlist high-quality images for further editing or immediate usage.

2. Visual Content Platforms: Social media or e-commerce platforms can use this model to ensure that all uploaded images meet certain image sharpness standards. This can improve the overall visual content quality on the platform.

3. Healthcare Diagnostics: In medical imaging or diagnostics, the model can help identify and remove low-quality images out of a set of scans, images, or slides, thus assisting healthcare professionals in making accurate diagnoses.

4. Security Surveillance: The model can be applied to security surveillance systems to alert for unsharp images, which may suggest camera misalignment, tampering, or a need for maintenance.

5. Autonomous Vehicles: The autobrake systems in autonomous cars could use this model to verify the image quality from the vehicle cameras. Non-sharp images might precipitate system alerts or trigger manual control to maintain safety standards.