For decades, the sports photography industry has relied on a single, low-tech identifier to organize chaos: the printed bib number.
It is the standard. You pin it on. You run (or cycle, or swim). A photographer snaps your picture. Then, days later, someone sits in a dark room and manually types that number into a database so you can find your photo.
If you are a race organizer or a professional photographer, you know the reality behind this workflow. It is slow. It is prone to error. And frankly, it is obsolete.
We are living in an era where your phone unlocks by looking at your face. Yet, we are still asking marathon runners to safety-pin a piece of paper to their chest so we can identify them.
The transition from manual tagging to AI-driven facial recognition is not just a “nice to have” upgrade. It is a fundamental shift in how sports photography businesses operate. It turns a week-long post-production nightmare into an instant delivery system.
Here is why the age of the bib number is ending, and why smart photographers are switching to facial recognition workflows like SnapSeek.
The Economic Reality of Manual Data Entry
Let’s look at the math of the old way.
You shoot a marathon. You come home with 10,000 raw images. Before you can sell a single print or digital download, those images need to be searchable.
If you rely on manual tagging, you have two choices. You can do it yourself, or you can outsource it.
Doing it yourself is a productivity killer. Tagging 10,000 images can take days of mindless data entry. That is time you are not marketing, not shooting, and not sleeping.
Outsourcing helps, but it cuts directly into your margins. You are paying a per-image fee to a service that might take 24 to 48 hours to return the data. In the world of social media, 48 hours is an eternity. A runner wants to post their finish line photo while they are still wearing their medal, not three days later when they are back at their desk job.
Speed is the currency of modern content. Every hour you wait to deliver a photo, its value drops. Manual tagging guarantees a delay that costs you sales.
The “Unidentified” Folder: Where Revenue Goes to Die
The biggest flaw in the bib system is not the speed. It is the failure rate.
Bibs are imperfect. They get crumpled. They get covered by hydration packs. They flap in the wind. Runners wear jackets over them when it rains.
When a tagger looks at a photo and cannot read the number, that photo goes into the “Unidentified” or “Lost & Found” folder.
For a photographer, that folder represents pure lost revenue. You took the shot. You edited the shot. But because a safety pin failed or a windbreaker covered the number 1234, you cannot sell it to the runner.
We have analyzed data from major races, and the percentage of untaggable photos can range from 10% to 30% depending on the weather conditions. That is up to 30% of your product thrown in the trash because of a piece of paper.
How Facial Recognition Changes the Game
SnapSeek flips this workflow on its head. Instead of relying on an external identifier (the bib), we use the subject’s own biometric data as the key.
Here is how the modern workflow looks:
- You Shoot: You photograph the race exactly as you normally would. You don’t need to stress if a bib is obscured. You can focus on composition, emotion, and lighting.
- You Upload: You dump the raw JPEGs into SnapSeek.
- AI Sorts: In minutes, our enterprise-grade AI scans every face in your gallery. It creates a unique vector map of each person and groups all their photos together.
- Instant Search: Guests visit your gallery link. They take a selfie. SnapSeek finds every photo of them instantly.
There is no manual data entry. There is no waiting period. There is no “Unidentified” folder for anyone with a visible face.
By removing the reliance on bibs, you recover that 10-30% of lost revenue. You capture the runner who wore a jacket. You capture the cyclist whose number was muddy. If their face is visible, the sale is possible.
Better Composition, Better Photos
This is an angle few people talk about: The artistic freedom of losing the bib.
When you are shooting for a bib-tagging system, you are forced to shoot “for the number.” You have to make sure the chest is visible. You might skip a dramatic side-profile shot or a candid moment of high-fives because the number isn’t facing the lens.
When you switch to facial recognition, you can shoot for the person.
You can capture the agony on a face from a side angle. You can shoot a tight portrait. You can capture runners hugging at the finish line where bodies block chest numbers.
This results in a diverse, high-quality gallery that looks more like a sports documentary and less like a catalogue of numbers. Better photos lead to higher emotional connection, which leads to higher conversion rates for your sales.
Check out how we are redefining this genre in our guide on How SnapSeek Transforms Sports Photography.
The Green Advantage
Sustainability is becoming a major selling point for event organizers. Races are banning single-use plastic cups and moving to digital race bags.
Yet, we are still printing thousands of Tyvek or paper bibs for every single event. These bibs are coated, non-recyclable, and end up in a landfill immediately after the race.
By moving to a facial recognition system, you give race directors a powerful tool to reduce their environmental footprint. “No Bibs Needed” is a strong marketing message for eco-conscious events. It saves the organizer printing costs and logistics time (no packet pickup lines for bibs), which makes your photography service even more valuable to them.
Handling the “Hardware” Argument
Critics of AI often say, “But bibs are cheap.”
Are they?
Let’s calculate the Total Cost of Ownership (TCO) for a 1,000-person 5K race.
- Printing: Custom bibs cost money.
- Logistics: You need volunteers to sort and hand them out.
- Timing Chips: Often integrated into bibs, adding cost. (Note: Professional timing still needs chips, but photography does not need to rely on them).
- Tagging Labor: If you pay $0.05 per photo for tagging 5,000 photos, that is $250.
- Lost Sales: The 20% of photos you couldn’t sell because the bib was hidden.
Compare that to SnapSeek. You pay a lower fee for a pay-as-you-go credit rate. You upload. You are done. The time you save on logistics and data entry pays for the software usage instantly.
See our breakdown of Affordable Event Photo Sharing to see how the numbers stack up.
Comparison: Bib Tagging vs. SnapSeek AI
Let’s assume a standard 500-person marathon event with 3 photographers.
| Feature | Manual Bib Tagging | SnapSeek AI Search |
|---|---|---|
| Setup Time | High (Printing, sorting, pinning) | Zero (Upload & Go) |
| Identifier | Paper Number (Must be visible) | Face (Biometric) |
| Processing Time | 24-72 Hours (Manual entry) | Minutes (Automated) |
| Accuracy | Low (Fails if obscured/crumpled) | High (99.9% detection) |
| Lost Revenue | High (Unidentified photos) | Minimal |
| User Experience | “Type your number & scroll” | “Take a selfie & see magic” |
Practical Application: Beyond Running
While marathons are the obvious use case, this technology opens doors for sports where bibs essentially impossible.
Surfing and Water Sports
You cannot stick a paper number on a wetsuit. Surf competitions have traditionally relied on “time of day” sorting, which is a nightmare for parents trying to find their child’s heat. With facial recognition, you just snap the surfer. As long as their face is visible, they are searchable.
Youth Soccer and Lacrosse
Kids move fast. Jerseys get tucked in. Numbers are on the back, but you are shooting from the front. Manual tagging for youth sports is often a guessing game. AI solves this effortlessly.
Obstacle Course Races (Mud Runs)
This is the ultimate stress test. By mile 3, every bib is covered in mud. A human cannot read it. AI, surprisingly, often can still identify the face structure even with splashes of mud, provided the eyes and nose bridge are visible. Even if it misses some, it is vastly superior to a brown square of paper.
FAQ
Does facial recognition work with sunglasses and hats?
Yes, to a surprising degree. SnapSeek’s algorithm analyzes over 100 data points on the face. While heavy obstruction (like large ski goggles and a face mask) will block it, standard running sunglasses and caps rarely pose an issue. The distance between feature points (nose, mouth, chin) remains unique. Read more about the tech in our Best Facial Recognition Apps analysis.
What if I shoot the back of a runner?
This is the one area where bibs (if pinned on the back) have an edge. AI cannot identify a person from the back of their head. However, as a professional photographer, the money shot is the face. If you are selling photos, you are selling emotion, determination, and eyes. Photos of backs rarely sell. Therefore, prioritizing the face aligns with prioritizing revenue.
Is this GDPR compliant?
Privacy is critical. SnapSeek uses a “One-Way” search model. We do not build a public database of faces. The biometric data is created on the fly to match the searcher with their photos. Guests only see their own photos, not the entire gallery. This is often more private than a public bib-number gallery where anyone can type “101” and see a stranger’s photos.
How do I deliver the photos to the runners?
You simply print a QR code (or beam it to a screen). We have a guide on Event Photo Sharing Using QR Codes that explains the deployment. You can put this QR code on a banner at the finish line. Runners scan it, take a selfie, and find their photos before they even catch their breath.
Can I still use bibs if I want to?
You can, but you won’t need to use them for sorting. Some races still require bibs for timing chips and official scoring. That is fine. But you, as the photographer, can ignore them. You do not need to log them. You do not need to care if they are upside down. Let the timing company worry about the bibs; you worry about the faces.
Conclusion
The bib number had a good run. It served us well in the analog age. But in a digital world defined by instant gratification and AI precision, it is a relic.
Clinging to manual tagging workflows is slowing you down. It is costing you money in lost sales and outsourced labor. It is frustrating your customers who just want to see their photos now.
The future of sports photography is friction-free. It is about removing the barriers between the capture of the moment and the delivery of the memory. Facial recognition is the key that unlocks that future.
It is time to unpin the paper and let the technology do the work.
Ready to leverage the power of AI for your next race? Try SnapSeek today.


