Add Unlabeled as a selectable pseudo-class for training - #66
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Previously unlabeled images were always silently pulled into YOLO detect/segment/obb training runs as background examples, with no way to opt out, and no way to see the option at all in the Class Subset Selection UI. Surface "Unlabeled" as a checkbox alongside real classes on the training settings page (backed by a new queries.project.getUnlabeledImages) and gate their inclusion in routes/training/yoloRun.js on that checkbox instead of including them unconditionally. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com> Co-authored-by: multica-agent <github@multica.ai>
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Summary
Labelsrows) were always silently pulled into YOLO detect/segment/obb training runs as background/negative examples, with no way to see or opt out of that in the UI.routes/training/yoloRun.jsnow only includes unlabeled images for detect/segment/obb tasks when that checkbox is checked; unchecking it excludes them. Noselected_classesat all still means "include everything" (legacy/API callers unaffected). Classification training is untouched.queries.project.getUnlabeledImages.Resolves CEO-50.
Test plan
npx jest— 33 suites / 217 tests pass locallytests/integration/yoloRun.test.jscases covering both the include and exclude pathstests/integration/yoloXTrainingSettingsClassCounts.test.jsfor the new pseudo-class entry🤖 Generated with Claude Code