The other class of programs look at actual image content. In this case, other than the file name, the metadata should be the same and these tools would work well if you tell it to ignore file name. For example you may have a folder with original file names and another folder of the same images but where you've renamed them. These are best when dealing with images that are really the same image (i.e. The better of these allow you to choose which metada to use and in what order. One class of these programs work only by looking at metadata to detect duplicates. Actually there are several dozen such programs and each one does some things better and other things worse than similar programs. Thanks again for taking the time to reply.Īnother one is Duplicate Photo Cleaner. A few of them can use the catalog to ID what photos to analyze but from then on igrone it so that if you delete or move duplicate images the tool finds, they wind up "missing" in LrC. Anyway, there are many standalone products that can do that quite well, "duplicate photo fixer", "duplicate photo clearner", "Duplicat Cleaner Pro", to name a few, just none of them take into account the LrC catalog. And, of cousre some images have damage like scratches, different fading, torn corners, etc. Add in that those prints may have been scanned at different resolutions and some may include the white border from the print with our without extra space behyond the edge to the print or with those borders cropped off. The part of my requirement for "near duplicate" is to find images that originated from the same negative or slide but where over the years were printed on several different occasions, at different sizes, sometimes in Color as well as B&W and with different crops. I suspect that the tags, labels and KW's on all of these would be the same. For example, I have over 200 images of where the only peple in it are Joe and June (grandparents) and were taken mostly in their living room. With Any Vision, even if I ran my entire 100,000 image catalog through it and generated tags and labels too many photos that are very different images would have the same tags and labels. My main need to to find duplicate (or near duplicate) photos using an LrC plugin. Quite interesting but not quite what I was looking for. It wouold be a great feature to also allow you to have the plugin sync metadata from the to be deleted copy to the to be retained copy. Then when you select which to keep and which to discard, will do the delete or remove through LrC so the catalog stays consistent. What I haven't found, and what I'm asking here if anyone else has found, is a LrC plugin, that will not only allow you to select the to be compared images using the Lightroom Grid, but then can use image content to find potential duplicates. I even found one that will read the LrC catalog to select the set of images it will compare (but doesn't run as a plugin) Some of these don't even mind if some are rotated, or cropped and can match color with monochrome versions. On the other hand, there are a significant number of standalone programs that can detect duplicate images based on the actual visual content of the image. In the world of scanning old prints it is not uncommon to find copies of the same images in multiple homes, and even in the same home one may be in a photo album and a copy in a shoe box and the negative in a binder. For example a scan of an 8x10 color print from Mom's attic compared to a slightly cropped 3 x 5 monocrhome printed from the same negative found in Grandpa's basement. A very common situation where metadata is not consistent is scanned images. However these two tools fall apart where metadata is not consistent. While this works well with images from digital cameras where file names, capture date/time, pixel dimensions and the like are the same on all the dupliate copies. Both of these plugin's only use metadata comparisons to identify potential dupluicates. These are Teekesselchen and Duplicate Finder 2. I know of two LrC plugin's that can be used from within LrC for the purpose of finding (and removing) duplicate images.
0 Comments
Leave a Reply. |