Guitar Fretboard Image Annotation (Label Studio)

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Contributors use the platform to discover projects, build profiles, and apply quickly — making it easy to start and grow a career helping shape how AI systems learn.

About AI training and image annotation

AI training (also called data labeling or annotation) is the human work that teaches models to understand real-world images. Image annotation projects like this one are essential for training vision systems that recognize objects and structure in photos — and they’re often flexible, remote, and accessible to people without prior industry experience.

The role

You will annotate images of guitars to produce precise polygon and box labels that mark frets, the fretboard playing surface, and the nut. This is a contract, entry-level task open to contributors worldwide. The project uses Label Studio and pays a fixed price of USD 500 for the completed set of annotations.

• Employment type: Contractor (short-term project)
• Pay: Fixed price — USD 500 total
• Data type: Images
• Labeling tool: Label Studio
• Location: Remote — worldwide

What you'll do

Follow detailed labeling instructions to create accurate annotations for each image. Work carefully to ensure consistent labels across the dataset.

• Annotate each fret with a polygon — one polygon per fret across the entire visible fretboard.
• Annotate the fretboard as a whole with a single polygon or bounding box covering the main playing surface.
• Annotate the nut as a single box or polygon at the top of the fretboard.
• Exclude the player's hand from fret and fretboard annotations — do not include hands inside the polygons for frets or the main fretboard surface.

Requirements

This is an entry-level project focused on careful, consistent image annotation. The project specifies polygon labeling and uses Label Studio; attention to detail is critical.

• Entry-level — no prior professional annotation experience required.
• Comfort using web-based annotation tools; this project uses Label Studio.
• Strong attention to detail and ability to follow precise labeling rules.
• Reliable internet connection and a device capable of running Label Studio in a browser.

Who should apply

This project suits people who enjoy visual, detail-oriented tasks and want flexible, remote contract work. Guitar familiarity is helpful for context but not required — careful following of the instructions is the priority.

• Ideal for entry-level annotators, students, or people looking for flexible remote work.
• Musicians or guitar players may find the content familiar, but this is not required.

How it works

Create a free OpenTrain account to apply and build a profile. After your application is accepted you will receive project instructions and access to the Label Studio workspace where you will submit annotations. The project pays a fixed price of USD 500 for the completed deliverables; payment details will be handled through the platform when you accept the task.

• Sign up on OpenTrain, complete your profile, and apply to this project.
• Work in Label Studio following the supplied labeling guide and quality checks.
• Submit completed annotations for review; payment is a fixed USD 500 for the project.