| # Teen and child classifier recheck |
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| Requested dataset scope: **276 identities × 10 expressions = 2,760 images**, covering babies, preschoolers, both school-age groups and both teen groups, including 18-year-olds in the older-teen category. **Six previously published child/teen model-gallery examples** are checked separately; their scores and any replacement commit are in the gallery reports. The published snapshot has checked **2,760 current dataset images**; **2,760 pass the operational criteria** and **0 require further processing**. This is an ongoing snapshot unless the linked completion report explicitly says complete. |
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| The exact [policy](metadata/minor-safety/policy.json), [detector provenance](metadata/minor-safety/detector-provenance.json), [per-image scores](metadata/minor-safety/scores.jsonl) and [current validation](metadata/minor-safety/current-validation.json) are checksum-specific. They identify the actual PNG bytes, not only filenames. Already-public TAR contents are matched to their remote SHA256 and byte size before scoring the identical local images. |
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| Two official LAION image models are used: the [CLIP ViT-L/14 binary classifier](https://github.com/LAION-AI/CLIP-based-NSFW-Detector) and the [LAION-SAFETY EfficientNetV2 B2 classifier](https://github.com/LAION-AI/LAION-SAFETY). The latter's drawing/neutral classes are SFW; its hentai/porn/sexy softmax scores are summed for the NSFW score. Each model sees the original portrait and a foreground crop fitted into a neutral square. CLIP uses L2-normalized projected OpenAI ViT-L/14 image embeddings; EfficientNet uses RGB0–1 and its documented260-pixel image input. |
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| The active additional operational thresholds are **CLIP ≥0.10 or EfficientNet NSFW sum ≥0.30 in either view**. Ordinary positive classifier outputs are included by these conservative cutoffs; outputs at least0.50 are also recorded separately as positive. These additional thresholds are project criteria, not documented guarantees or a calibration for this illustrated domain. A flagged score does not establish that an image depicts sexual content. Model scores can produce false positives and false negatives. |
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| The [baseline class-output analysis](metadata/minor-safety/baseline-classification-summary.json) separates these additional project flags from the models' ordinary classifications. Across all2,760 original images and both views, EfficientNet's highest-scoring class is always SFW:5,406 drawing views and114 neutral views, with no hentai/porn/sexy top labels. The maximum CLIP NSFW output is0.0545109. Thus all original top-label/binary classifications are SFW; the1,662 flags come from the extra0.10 sum threshold. This illustrated-domain sensitivity is an observed limitation, not evidence of1,662 sexual images. |
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| The original stricter0.10 policy is preserved in the [baseline policy](metadata/minor-safety/baseline-policy.json). The [declared transition](metadata/minor-safety/policy-transition.json) documents the implementation judgment behind separate cutoffs after the optional threshold-preference question; no user-selected answer was inferred. Under the0.10 CLIP/0.30 EfficientNet rule,37 original images from seven identities receive additional precautionary regeneration. Saved raw detector outputs are reevaluated against the new criteria without changing pixels or model weights; historical original scores remain preserved. Earlier0.10-screened replacements remain valid under the new rule. The six model-gallery examples already passed the stricter0.10 check. |
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| New teen/child TARs are held until the exact image checksums pass. During repair the default/base Datasets configurations whitelist already-uploaded, checksum-approved original TARs; entire flagged TARs are temporarily omitted. The [stream-filter snapshot](metadata/minor-safety/public-stream-filter.json) records that reduced subset. Previously published TARs with unresolved flags have also been temporarily removed from current main, as recorded in the [public quarantine audit](metadata/minor-safety/public-quarantine.json); old Git revisions remain historical versions. Screened replacements return under the same TAR names. The complete500-person plan remains the target, not a claim about this temporarily filtered stream. Full wildcard streaming is restored after the recheck and all replacement uploads complete. Replacements use fully covered, age-appropriate opaque clothing and are checked again. If a neutral reference changes, all ten emotions are regenerated against the new reference. When the original neutral already passes, its exact pixels and other passing expressions are normally retained; only flagged expressions are regenerated against that same neutral. Difficult cases may instead receive a coherent fully covering outfit variant for the entire ten-image family, recorded in the [recipe overrides](metadata/minor-safety/profile-recipe-overrides.json). Every released group still has ten passing expressions. Published replacement audits distinguish changed and retained PNG hashes, parameters and the corresponding TAR changes. Individual image assets remain inside TARs. |
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| New neutral-reference searches prefer scores below0.20 to leave room for later expression edits. Within a16-candidate search, the best neutral that meets both active model/view criteria can also be used. Already accepted candidate PNGs are checkpointed with exact prompt, seed and reference linkage. New families generated under the active policy additionally wait for a policy-specific visual review gate before upload. Full PNG/TAR integrity validation and anonymous reference-index checks are separate from classifier judgments. |
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