3 ms·
How did you go with duplicate detection? (For context, aside from being amazingly generally useful to anyone with non trivially edited images, lots of hotel cha
by ggm 2y ago
How did you go with duplicate detection? (For context, aside from being amazingly generally useful to anyone with non trivially edited images, lots of hotel chains reuse content)
- cenamus 2y agoPerceptual hashes are very good for that, maybe with some adjustments for mirrored images and some crops
- ggm 2y agoYes. Most of the systems I used a couple of years ago (immich for instance) were still quite immature.
- punnerud 2y agoCan use dhash that is more robusts to compression, crops and color changes. Mainly look at the features in the image.
- mkl 2y agoThe README explicitly says it's not good for crops, and from the algorithm description it can't be. Or is there another thing called dhash with a different algorithm? https://github.com/benhoyt/dhash https://github.com/benhoyt/dhash. https://github.com/Rayraegah/dhash https://github.com/Rayraegah/dhash is similar but horizontal only.