| { |
| "base_revision": "1a9eb8af2754ad2329a24cfe50d388cb559441d0", |
| "artifact_revision": "a78fd9de52e4e3884e4530f634754d2a910a2c55", |
| "teacher_cache_revision": "7b10485ee9d205ce2f7b660dfc6a90012d78b1cb", |
| "seed": 92851, |
| "generator_parameters": 3994676, |
| "steps_per_arm": 2000, |
| "batch_size": 32, |
| "arms": [ |
| "control", |
| "region" |
| ], |
| "matched": "Same fixed selected targets, input augmentation batches, initial weights, optimizer and updates. Treatment adds .4 object residual consistency + .15 local missing chroma.", |
| "supervised": "L1/20 + .25 sliced chroma distribution + .1 gradient difference (existing r.losses)", |
| "target_choice": "One complete original or cached DDColor target per training image, selected once by v3 complete-image loss. No per-pixel target mixing. Reject teacher proposal if it removes over40% of original chroma or has >1.5x+1.5 mean chroma edge strength.", |
| "region_loss": "Mean absolute spatial residual after subtracting regional mean prediction-target error. Allows constant alternative hue shifts while retaining target patterns.", |
| "segmentation": "Frozen torchvision DeepLabV3 ResNet50 COCO_WITH_VOC_LABELS_V1 on original RGB, default520px preprocessing. Confident connected foreground interiors + homogeneous original-color SLIC background surfaces. Max64 regions/image.", |
| "inference": "Unchanged architecture and one-pass inference; segmentation/teacher are training-only.", |
| "data": "Seeded8192 subset of original training fold; pinned Imagenette/COCO shards and verified cached DDColor. 50% mild archival-style input degradations.", |
| "evaluation": "Reused dense-run development and test are explicitly regression sets. New128 COCO val/0001 examples exclude round7 and dense-run evaluation IDs and training byte duplicates. New holdout used only after training; familiar archived-photo probes are not independent historical validation.", |
| "limitations": [ |
| "20 foreground semantic classes only", |
| "touching same-class objects can merge", |
| "RGB-derived masks are imperfect", |
| "DDColor targets are fallible", |
| "teacher/encoder upstream pretraining overlap unknown", |
| "one seed and short pilot", |
| "synthetic film variation is not true archival training", |
| "frozen target selection can retain v3 biases" |
| ], |
| "budget": { |
| "hard_timeout_minutes": 30, |
| "training_stop_minutes": 23, |
| "maximum_compute_usd": 1.25 |
| }, |
| "release_policy": "All checkpoints retained for review; no automatic production replacement" |
| } |
