---
license: mit
task_categories: [image-to-text]
tags: [optical-music-recognition, omr, music, jianpu, sargam, synthetic]
size_categories: [10K<n<100K]
---

# omr-synth — 30,000 synthetic music-notation pages (Western · Jianpu · Sargam)

Render-forward synthetic data for optical music recognition of the notations general vision models can't
read. **One symbolic score → three renderers → one shared OMRDSL target.** Every image ships with a
*perfect* label — no human transcription. Built for a weekend learning project.

- 💻 Code: https://github.com/abhid1234/omr-synth
- 🤖 Model: https://huggingface.co/abhid1234/omr-synth
- ▶️ Demo: https://omr-synth.vercel.app

## Contents
- **`omr-synth-30k.tar.gz`** — 30,000 `(image, target)` pairs: `images/*.png` + `targets/*.omrdsl`.
  10,000 each of **Western staff**, **Jianpu (简谱)**, **Sargam**. Curriculum levels 0–3 (clean → manuscript-like).
- **`manifest.jsonl`** — one row per example: `id, image, target, notation, renderer, curriculum, width, height`.
- **`samples/`** — a small browsable preview.

## How it's made
Western: MusicXML → Verovio → CairoSVG. Jianpu & Sargam: drawn programmatically from the *same* symbolic
record. Deterministic by seed; fully regenerable from the repo (`make synth SIZE=n`).

## Splits
Stable train/val/test (80/10/10) by hashing each `id` (`src/data/split.py`). MIT · Abhi Das.