README.md

metadata

license: apache-2.0
tags:
  - scent-engine
  - game-screenshots
  - multi-label
  - 6-channel-scent
task_categories:
  - image-classification
language:
  - en
size_categories:
  - 10K<n<100K

ScentEngine — Universal Training Annotations

Two-stage Gemma 4 labels (E4B primary, 31B verifier for conf ∈ [0.4, 0.7]) over public game screenshots. Each row maps an image to 6 PWM values (0–100) in locked channel order: Flora · Aqua · Earth · Pyric · Ozone · Civic.

Files

File	Purpose
public_games_final.jsonl	All accepted labels (quarantine excluded)
universal_train.jsonl	90% split for training the universal head
universal_val.jsonl	10% split for validation / MAE eval

Row schema

{{
  "image_path": "...",
  "game": "public_games",
  "labels": {{"FLORA": 0, "AQUA": 0, "EARTH": 80, "PYRIC": 20, "OZONE": 0, "CIVIC": 0}},
  "confidence": 0.84,
  "labeler": "gemma-4-e4b-it"
}}

Source pipeline

public game screenshots
  → scent-engine label-parallel (Gemma 4 E4B + 31B verifier)
  → quarantine + reconcile
  → scent-engine prepare-train --val-split 0.1

Code: https://github.com/dennishuang85/AI_model