image-ndd-lsh
Near-duplicate image detection using Locality Sensitive Hashing (by mendesk)
ssim
🖼🔬 JavaScript Image Comparison (by obartra)
| image-ndd-lsh | ssim | |
|---|---|---|
| 2 | 1 | |
| 60 | 219 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | 5 months ago | |
| Python | TypeScript | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
image-ndd-lsh
Posts with mentions or reviews of image-ndd-lsh.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-07.
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Discussion Thread
You might look into locally sensitive hashing. Here's some software I found with a quick search
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File consolidation software/strategy for merging and deduplicating photos from multiple TB drives into one place with possible corruptions.
What would be nice is something that used locality-sensitive hashing to bin very similar files together for further examination.
ssim
Posts with mentions or reviews of ssim.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-01.
-
File consolidation software/strategy for merging and deduplicating photos from multiple TB drives into one place with possible corruptions.
Using something like this approach or this would probably be how I'd attempt to solve it initially, though you'd need to experiment with a few corrupt images to see what reasonable score threshold for deciding files are similar enough to possibly be a copy modulo corruption.
What are some alternatives?
When comparing image-ndd-lsh and ssim you can also consider the following projects:
datasketch - MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
image-size - Node module for detecting image dimensions
LSH - Locality Sensitive Hashing using MinHash in Python/Cython to detect near duplicate text documents
watching-you - watching-you is a javascript library for building animations that watch anything on DOM 👀.
videoduplicatefinder - Video Duplicate Finder - Crossplatform