AprilRobotics/apriltag

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

2480 stars · 672 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AprilTag is a small C library implementing a visual fiducial (marker) detection system, computing the precise 3D position, orientation, and identity of printed tags relative to a camera. It has minimal dependencies, is portable to embedded devices, and includes bindings for Python, Matlab, and Julia.

Use cases

• detect fiducial markers for robot localization
• estimate camera pose from printed tags
• calibrate a camera using fiducial targets
• add marker-based tracking to augmented reality apps
• detect AprilTags in real time on embedded hardware
• identify tags and their 3D position from images

When to choose

• you need robust, fast detection of printed 2D fiducial markers in C or Python
• you need precise 3D pose of markers for robotics or AR
• you need a dependency-free library portable to embedded devices
• you want a well-established, research-backed fiducial system

When to avoid

• you need to encode large data payloads (use QR codes instead)
• you need a pure high-level-language solution with no C compilation
• your platform is not Linux/POSIX-like and you cannot port the build

Facets

library · maturity stable

computer-vision image-processing sdk robotics computer-vision autonomous-vehicles cross-platform embedded python cpp c fiducial-detection apriltag pose-estimation camera-calibration augmented-reality marker-detection augmented reality linux

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