Bicycle Detection AI Template

Locate, label and count bicycles.

Use This Free TemplateTry Preview
Template preview
Easy low-code workflow builder
1M+ free images on Roboflow Universe
Build vision workflows with AI assistance
Invite others and build together

Get started with the Bicycle Detection AI template

From crowded city streets to busy bike paths, this template instantly spots, labels, and tallies every bicycle in view - helping urban planners and businesses make data-driven decisions about cycling infrastructure.

Try it now:

Live Preview Ready
Drop an image or click to select

Why you should use the bicycle detection AI template

Urban mobility teams struggle to manually count bikes at key intersections and popular routes, often relying on error-prone clipboard counts or expensive sensor systems. By deploying this bicycle detection template across your existing camera network, you'll capture accurate, real-time bicycle traffic patterns 24/7. Transportation departments use this data to optimize bike lane placement, adjust signal timing, and evaluate the impact of cycling infrastructure investments. Bike-share companies rely on it to track fleet distribution, while retail businesses analyze cyclist foot traffic to determine optimal store locations.

Key benefits of the bicycle detection AI template

Imagine replacing days of manual counting with automated, round-the-clock bicycle monitoring that delivers precise data within seconds. This template's specialized algorithms detect bikes even in challenging conditions - partially obscured views, low light, or crowded scenes. Beyond simple counting, it provides valuable insights like peak usage times, popular routes, and cycling pattern changes across seasons. For cities investing in bicycle infrastructure, this translates to data-backed decisions that maximize impact while minimizing costs. The template's ability to process multiple video feeds simultaneously means you can scale from single intersection analysis to city-wide bicycle movement studies without adding staff or equipment.

How to do bicycle detection

  • Upload an image: Start by uploading any photo directly into the Bicycle Detection AI Template workflow—no setup required.
  • Preview instant results: The template will automatically locate, label and count bicycles within seconds, so you can immediately see how accurately it works.
  • Like what you see? With a free Roboflow account, you can deploy the template to process more images, clone it to customize for your own needs, or integrate it into your projects and workflows.
  • Get started for free: No technical expertise needed—just upload, review, and, if it fits your needs, make it part of your photo organization toolkit in a single click.

Ready to Get Started?