LR013 - KEYWORDS for People
KEYWORDS for people
In LR there are many ways to do the same thing, each with pros and cons. Some make more sense to some people and other methods make more sense to other people. Here is what makes sense to me and what I use.
Note: As of version 6, (and CC 2015), LR offers a “face recognition” feature. I’ll talk more about that in another chapter but for now just be aware that when you use LR’s Face Recognition tools the end result is a Keyword for each person you care about. Prior to LR6, this was a manual process. The changes brought in with LR6 is that LR itself helps find faces in images and suggests who each person is through face recognition programming. A second and related change is that historically keywords have applied to an entire image, but as of LR6 a keyword that is designated as a “person” type keyword (i.e. someone’s name) can pertain to a portion of an image (i.e. a persons face) rather than the whole image. But, however you do it, either with our without using the Face Recognition tools in LR, the net result is that there are keywords that represent people. And that’s what this chapter is about.
Note: In my examples I am using first names only to keep things simple, however I strongly recommend that you use full names with dashes or underscores between first and last name because at some point you’re going to have duplicate first names among all the people you’ll be adding. By following the example (note check boxes), I can search for “Fred-Green” and get only that one person rather than all the Fred’s and/or all the Green’s including the Greenbaum’s
At some point in time you will have so many images of people you know that you start having trouble finding them when you want to. Usually this happens with photos of family members and close friends but can be extended to co workers, and famous people you encounter (e.g., My “Selfie with Superman”).
What is typically desired is a not too complicated way to be able to find photos that have specific people in them and even better specific combinations of people. For example, find all the photos that have BOTH Fred and Betty in them, have ONLY Fred and Betty or any other combination or people.
Concept of the solution
The key to this problem utilizes keywords and smart collections and is really quite simple once you get the concept. What we’ll do is create a keyword for each person we want to track by name. These keywords of individual people may be nested into groups such as Family, Co-worker, Politician, Performer, etc. We start by creating a high level KW called “People” and then under that one create a KW for each group and under those, KW’s for each individual. So it might look like this screen shot in LR.
Assigning the Keywords
This is not as difficult as it might seem, even if you have, literally, thousands of images. Perhaps you even have some prior keywords set up (like one keyword for each combination of people) to help you zero in on the photos you want. Or, you can use LR’s Face Recognition tool (as of LR6) to help find them. If you’re doing this manually, create the list of keywords ending with one keyword per person in the usual manner. Then, using the Grid view in the Library module, simply click, shift click or Ctrl (Option on Mac) click to select on all the images that contain a certain person and assign that persons keyword to those images. Then go on to the 2nd person, etc. In this way, if you have an image with 3 people, it will get 3 keywords – one for each person.
Once your images with people have been assigned keywords (with or without face recognition) you can use filters or smart collections to quickly retrieve images of the people you’re looking for.
Find all images that have a certain person
This is the easiest. Just open your filter bar (“\” speed key). Select Text, Keywords Contain, and the name of the person. Here’s an example. As soon as you finish typing the persons name those images will show up in your grid
You could also just click the right facing arrow to the right of the name “Alice” in the Keyword list. This will create a metadata filter (rather than a text filter) and will accomplish the same thing as shown below.
Find images that have 2 or more specific people
The process here is the same, except you use 2 of the keywords. For the text filter use “Contain” to get images that have ANY of the named people. In the example below, images that have either Alice or Cher or both are found.
Use “Contain All” to get images that have ALL the named people. In the example below an image must have both Alice and Cher to be shown.
Find images that have specific people but not others
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