# =====================================================================
# stop-signs.yaml — proves the data labeling factory is GENERIC
# =====================================================================
#
# Same pipeline as drones.yaml but for stop signs. The only changes are
# the queries, the target_object, the data_root, and the falcon_queries.
# All scripts read this YAML and adapt automatically — zero code changes
# required to onboard a new object class.
#
# Run with:
#     data_label_factory pipeline --project projects/stop-signs.yaml
# =====================================================================

project_name: stop-signs
target_object: "stop sign"
description: |
  Smoke test project — train a stop sign detector for autonomous driving research.

data_root: ~/data-label-factory/stop-signs

r2:
  bucket: drone-falcon         # reuse the same R2 bucket — different prefixes
  raw_prefix: stop-signs/raw/
  labels_prefix: stop-signs/labels/
  reviews_prefix: stop-signs/labels/reviews.json

buckets:
  positive/clear_view:
    queries:
      - "stop sign closeup"
      - "red stop sign octagon"
      - "stop sign daytime"
      - "stop sign intersection"

  positive/partial_view:
    queries:
      - "stop sign occluded"
      - "stop sign in distance"
      - "stop sign at angle"

  negative/other_signs:
    queries:
      - "yield sign"
      - "speed limit sign"
      - "do not enter sign"
      - "one way sign"

  distractor/red_signs:
    queries:
      - "red warning sign"
      - "red circle traffic sign"
      - "red parking sign"
      - "no entry sign"

  background/no_signs:
    queries:
      - "empty highway"
      - "country road landscape"
      - "city street empty"
      - "parking lot empty"

falcon_queries:
  - "stop sign"
  - "traffic sign"
  - "red octagonal sign"
  - "road sign"

# Use only Qwen + local M4 for the smoke test (no RunPod)
backends:
  filter: qwen
  label: qwen      # for smoke test, label with Qwen too — proves generic backend selection
  verify: qwen