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When an image is uploaded, generate its perceptual hash using an existing library like ImageHash (Python) or pHash (C++). You can find the ImageHash library here: https://github.com/JohannesBuchner/imagehash
Another option is using the OpenCV library with Python to extract features from images and compare them using feature matching algorithms like SIFT, SURF, or ORB. This approach is more computationally intensive but might be more accurate in identifying near-duplicates. You can find more information about OpenCV here: https://opencv.org/