Docs/Sport Categories

Sport Categories

Choosing the right sport category tells RaceTagger's AI what kind of event it's analyzing, which dramatically improves detection accuracy. Different sports display race numbers in different locations and formats — a motocross bike has side panel numbers, a runner wears a chest bib, and a race car has body panel numbers.

By selecting the correct sport category, the AI knows where to look, what format to expect, and what context clues matter. This can improve accuracy by 10-20% compared to generic detection.

Why Categories Matter

RaceTagger uses different detection strategies for different sports because race numbers appear in very different places depending on the sport:

  • Motorsport: Numbers on car body panels, doors, and windshields (often large, 2-3 digits)
  • Motocross: Numbers on front/side plates, typically 1-3 digits, often on white backgrounds
  • Running: Bib numbers worn on chest or back, usually 4-5 digits, on white fabric
  • Cycling: Numbers on frame decals, jerseys, or handlebar plates, various sizes

Accuracy Impact

Choosing the right category can improve accuracy by 10-20% because the AI focuses on relevant areas and number formats. If unsure, use Auto Detect — the AI will try to determine the sport itself, though it takes slightly longer.

Available Categories

RaceTagger supports eight sport categories, each optimized for specific race formats and number placements:

Motorsport

Cars, formula, GT, touring cars. Numbers on body panels, doors, windshields.

F1WECGT3IMSAtouring cars

Motocross / Enduro

Dirt bikes, motocross, enduro. Numbers on number plates (front, side). Often 1-3 digits.

MXSXendurorally raid

Road Racing (Moto)

Street motorcycle racing. Numbers on fairings.

MotoGPWSBKnational championships

Running

Road races, trail, cross country. Bib numbers on chest/back.

marathons10Ktrail racescross country

Cycling

Road, track, MTB. Numbers on frame, jersey, or handlebar plate.

road racesgran fondocriteriums

Triathlon

Multi-sport events. Numbers on body, bike, helmet.

IronmanOlympic triduathlon

Karting

Go-kart racing. Numbers on kart body, typically 1-3 digits.

rental kartingcompetitive karting

Auto Detect

Let the AI determine the sport. Slightly slower but convenient.

mixed eventsunknown sport

How to Set Categories

In the Desktop App

  • Select your sport category in the settings panel before starting analysis
  • Set a default category in Preferences to avoid re-selecting for each batch
  • Change category mid-batch if needed by updating the settings before the next batch
  • For mixed events (e.g., triathlon with running, cycling, and swimming), use Auto Detect or process each discipline separately

Pro Tip: Default Category

Set your most-used sport category as the default in Preferences. You can always override it for individual batches without changing the default.

Category-Specific Tips

Motorsport

Works best with side-angle shots where car body numbers are clearly visible. Top-down or rear-angle shots may miss door/side panel numbers. Ensure good lighting on the number areas.

Running

Front and back shots work best — side shots may not show bib numbers. Ensure bibs are not obscured by sweat, dirt, or runner body position. Face numbers or arm bands may be harder to detect.

Motocross

3-digit numbers can be challenging, especially in motion or from extreme angles. Ensure number plates are visible and well-lit. Side-angle shots typically work better than head-on.

Cycling

Numbers may appear on frame decals, jerseys, or handlebar plates. Keep the entire bike and rider in frame. Jersey numbers work best at closer distances.

Auto Detect

Adds 1-2 seconds per image as the AI analyzes the image to determine the sport. Use a specific category whenever possible for faster processing. Best reserved for mixed events or when you're truly unsure.

Image Quality Matters

Regardless of sport category, detection accuracy improves with better lighting, focus, and angle. Blurred numbers, extreme angles, or poor lighting will challenge any category.

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