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New approach: dilate color mask heavily (25x25) to merge nearby colored pixels into regions, then check word overlap: - >50% overlap with OCR word boxes → colored text → skip - <50% overlap → colored image/graphic → keep This detects balloon clusters as one "image" region instead of trying to classify individual shapes. Red words like "borrow/lend" are filtered because they overlap with their word boxes. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>