History

Jonas 4c9deda66a Implement labeling backend: FastAPI + SQLAlchemy data model and CRUD API

Add the core labeling data model (label sets, ad-hoc Main->Sub class
hierarchy, frames, bounding-box labels, per-frame/per-set label
status) behind a FastAPI app, with SQLite as the default swappable
DATABASE_URL. Multi-user support is attribution-only for now
(get-or-create by username, no login flow yet). Dataset
versioning/promotion is intentionally deferred - it needs its own
design pass around snapshot semantics.

Each test gets a fully isolated app+DB via create_app(database_url=...)
rather than relying on process-global state. 13/13 tests pass; also
verified live end-to-end against a running uvicorn instance.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

2026-07-16 11:24:57 +02:00

backend

Implement labeling backend: FastAPI + SQLAlchemy data model and CRUD API

2026-07-16 11:24:57 +02:00

frontend

Scaffold monorepo structure for all pipeline components

2026-07-16 07:16:55 +02:00

README.md

Scaffold monorepo structure for all pipeline components

2026-07-16 07:16:55 +02:00

README.md

Web-Based Labeling Tool

Bounding-box labeling tool for training frames, with a hierarchical ad-hoc class system (Main → Sub, e.g. Enemy → Bat), multiple independent label sets (Enemy, Items, Traps, ...), multi-user support, versioned datasets, and an active-learning workflow (seed-label → train → auto-label → review → promote).

See CLAUDE.md §3.2 for full requirements.

Status: not yet implemented.

Structure

backend/ — API + data model (sets, hierarchical classes, dataset versions, per-image/per-set label state)
frontend/ — labeling UI (framework not yet decided)