You're about to begin your culling session in Aftershoot and it's time to set your culling preferences. First, you must choose what type of shoot you're culling today. But why is that important?

When going through your images, Aftershoot's AI will consider the type of shoot and judge them based on that. Right now you might be thinking - you know your criteria when culling different types of shoots. But what are Aftershoot's selection criteria with different genres?

Well, let's take a look!

When selecting for this genre the AI focuses on the most important part of wedding and engagement photos - key faces, closed eyes, and emotions.

It is best suited for situations when you have a background with lots of unimportant faces and a few key ones in the foreground. Another reason it particularly excels in wedding situations is that it's good at differentiating between a high amount of photos taken during a single scene. A very common situation for weddings and engagements.

For weddings and engagements, Aftershoot looks for closed eyes. This means Aftershoot will focus on closed eyes, you might want to go through images with kissing one more time, to make sure it didn't miss anything.

This culling genre isn't designed for burst shot situations where subjects or objects move at high speed. Hence we don't recommend it for sports, dancing, and so on. It also doesn't have a "duplicate building" feature like the Portrait & Headshots genre that we will cover next.

Just as the name implies, this genre is best for shots with a single subject in a controlled environment with a clear background - like a studio or nature without other people in the shot. The AI analyzes the images and selects the shots with the least blur, most emotion, and without closed eyes.

When it comes to duplicates the AI will sort different poses into separate duplicate groups. So if there are 6 images with the subject looking to the left - they will be put into one duplicate group. The same will happen with the 5 images of the subject looking to the right, and so on.

The only, arguable, downside of this culling genre is that it's going to select a few more images than other genres.

The criteria used by the AI in this culled genre are similar to the ones used in the Weddings & Engagements genre. While it's also best suited for shots with more people in the foreground, it's preferable to use this one for shots with a clear background in a controlled environment.

If you're planning on culling a shoot with a single subject, it's still preferable to select Portrait & Headshots.

Think of the criteria for selection for this genre as a mix between Portraits & Headshots and Weddings & Engagements.

We recommend turning off the Closed Eyes detection to avoid missing out on shots with artistic decisions and intentionally closed eyes.

The biggest focus of the AI when selecting images for this culling genre is the blur factor. The AI will always look for the images where the subject is in focus.

When it comes to sports with humans as the subject, unlike other genres, the AI will look for images with the body in focus, rather than the face. Closed Eye detection is disabled by default because helmets can often block the person's eyes.

Even if you enable Closed Eye detection, Aftershoot won’t filter images that it considers to be good but have closed eyes into the Closed Eyes group. It won’t select them, if there are better alternatives, but will simply mark them with a Warning.

For racing events, the AI will try to understand if the car you were looking to capture is the one in focus or not.

The duplicate situation is a bit tricky due to the inherent similarity of many sports photos. The AI will not put images with a significant time difference in one duplicate group, although multiple burst-shot images might be clustered together.

The name is self-explanatory, this genre was made specifically for school portrait shoots. The criteria for selected images are similar to the ones for Portrait & Headshots.

But there are some additional features meant to help specifically with school portraits. The AI will give secondary images a warning label.

In-focus images where the subject has a weird pose and/or isn't looking at the camera will have a warning on them. In all other scenarios these images might be considered good, but they are not appropriate for a school album. This way you can quickly differentiate between them.

Also, the AI identifies QR codes. It knows that a QR code is an identifier for the next subject and will be included as a selected image with the shots of that subject.

It has the same criteria as Weddings & Engagements and excels for photos with a messy background. The biggest difference is that it's suitable for gatherings, events, and parties where the subject isn't necessarily looking at the camera.

The same criteria for selection as Weddings & Engagements and Boudoir. We recommend running it with Closed Eyes off, to avoid losing images where the toddler has their eyes closed.

This is the culling genre for everything that doesn't fall under the previously described ones. Its criteria will take blurriness, key faces, and closed eyes into account.

The AI will attempt to analyze the album as a whole and attempt to select the winning images based on its analysis.

We designed and developed Aftershoot in a way that would be able to adapt to any workflow our users may use. There is no inherent right or wrong way to use Aftershoot. So if you find that some of these genres work for other purposes - let us know! We love to see new and ingenious ways of using Aftershoot.

If you have any questions or issues don't hesitate to get in touch with us at [email protected] or through in-app support!