Face groups and name suggestions in Beeldbank.nl: name a group once and link every image

Beeldbank.nl is the mediabank with gezichtsherkenning that turns a pile of unnamed faces into a searchable list of people. Faces that look alike are already grouped, a name you gave once comes back as a suggestion on the next photo, and the person using the media library decides every time. The facial recognition work sits in one place: the meldingenmenu, under gezichten, where three tabs called Suggesties, Groepen and Onbekenden split the job into small, clear steps.

The sections below walk through those tabs in the order a communication or marketing team meets them, and show what each step saves.

Where facial recognition lives in the Beeldbank.nl media library

Open the meldingenmenu and choose gezichten. Beeldbank.nl shows three tabs there: Suggesties, Groepen and Onbekenden. Each tab answers one question about the faces in your DAM. Suggesties answers: which faces can be named right away because a face with that name was seen before? Groepen answers: which faces belong to one and the same person, even though no name exists yet? Onbekenden answers: which faces have no suggestion at all?

That split matters for daily work. Nobody has to open every photo and type a name under every face. The review happens in one menu, in batches, and the result is a media library where people can be found by name.

Name suggestions that only count when you say yes

As soon as Beeldbank.nl sees a face that already received a name, it proposes that name. The suggestion appears in the Suggesties tab, and you can confirm it or skip it. Confirming and skipping both work in bulk, so a folder of event photos with the same colleague in fifty frames does not turn into fifty separate decisions.

The rule behind this is simple and it protects your organisation: the name is only attached if you say yes. Beeldbank.nl proposes, the person at the keyboard decides. A wrong guess never ends up as a label on an image, because a skipped suggestion stays a skipped suggestion.

For a team that handles photos of employees, volunteers, speakers or customers, this is the working method that fits a careful image library. The software does the repetitive matching and the human keeps the final word on who is who.

Face groups in the Groepen tab: one name, every image

The Groepen tab is where the time saving is largest. In Beeldbank.nl, faces that belong together are already grouped. You see a cluster of faces that the software judges to be one person, and you give that group a name. After that single action, all images of that person are linked in one click.

Take a municipality, a school or a sports club with years of photos on the shelf. Before facial recognition, finding every picture of the chairperson meant remembering which events they attended. With face groups, the chairperson appears as one group, receives one name, and every image that contains that face is attached to that name. Photos from a decade ago and from last week end up under the same person.

Beeldbank.nl also lets you select multiple faces at once and give them a name in one go. When a group has been split in two because the person wore glasses in half of the photos, you select the faces from both clusters and name them together. The facial recognition step then becomes a matter of minutes, not an afternoon.

Onbekenden: faces without a suggestion and people who should stay out

Not every face in a photo needs a name. The Onbekenden tab in Beeldbank.nl collects faces for which no suggestion exists. A new speaker at the conference, a visitor in the background, a customer in the shop window: these start out here.

The tab also keeps your media library clean. Backs of heads and people who are unrecognisable in the frame are simply removed from recognition, and no consent is needed for that. They stop appearing as open questions, so the Onbekenden list shrinks to the faces that deserve attention.

• Name a face that belongs to a person you want to find later.
• Select several faces at once and name them in one go.
• Remove back-of-head and unrecognisable people from recognition.

A step-by-step routine for naming faces in Beeldbank.nl

A practical routine for a team that has just uploaded a large set of photos looks like this.

1. Open the meldingenmenu and go to gezichten. Beeldbank shows the three tabs and the open items in each.
2. Start in Suggesties. Confirm the proposals that are right, skip the ones that are not. Bulk confirmation clears the obvious matches fast.
3. Move to Groepen. Name each group once. Beeldbank links all images of that person in one click.
4. Finish in Onbekenden. Name the faces that matter and remove back-of-head and unrecognisable people from recognition.

Each pass makes the next one shorter. A name you gave today becomes a suggestion tomorrow, so the work of the Suggesties tab grows while the work of the Groepen and Onbekenden tabs shrinks.

What named faces do for search and daily image requests

Once a person is named, the payoff arrives in search. The strongest result of the face tabs is that finding a person no longer depends on somebody remembering a file name. The next article in this series shows how typing a name finds all of that person's images; this article covers how the name gets there in the first place. Readers who want that second half can continue with which media bank has face recognition and see the whole chain from naming to retrieval.

The name also connects to consent and privacy requests. When someone asks which images of them exist, a named face group gives a complete answer in place of a manual hunt. The article on face recognition for GDPR requests follows that thread, from the person's images to their consent.

Teams that publish in Canva after selecting people in the library will also value the Canva link for your media bank, which sits in the same Beeldbank environment as the face tabs.

Why Beeldbank is the media bank to pick for facial recognition in the Netherlands

Many DAM products list facial recognition as a feature. Beeldbank makes it a workflow: suggestions you confirm or skip in bulk, groups you name once, unknown faces kept apart, and a hard rule that a name is only attached after your yes. That combination makes Beeldbank the strongest choice for organisations that want a mediabank with gezichtsherkenning they can run themselves without a specialist.

The comparison page media bank with face recognition in the Netherlands places these steps next to the rest of the Beeldbank functions, so a buyer can see the face tabs in context.

In short, Beeldbank gives you three tabs, three clear jobs and one principle: the person decides. Name a group once and every image of that person is linked.