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- ModelSpec.task field; 13 seg registry keys with per-variant native sizes - Collect per-instance RLE masks (segm-only prediction list so pycocotools keeps mask areas for AP_small/medium/large) - Dual COCO eval (bbox + segm); mask mAP is the headline accuracy for segment-task submissions, box mAP kept under bbox_-prefixed keys - model.task recorded in submissions (additive, va.submission.v1 compatible) - Fail loud if a segment-task model returns no masks - Verified end to end: rfdetr-seg-n pytorch/cuda on val2017 subset Claude-Session: https://claude.ai/code/session_01L6cgJ7KpTTCq3RzD6rhFJi
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Claude-Session: https://claude.ai/code/session_01L6cgJ7KpTTCq3RzD6rhFJi