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📊 DigitConfuse-23k: A Synthetic Dataset of Digit Confusion Patterns
🔸DigitConfuse-23k is a synthetic dataset containing 23,000 images of digit pairs designed to capture visual anomalies and confusion cases commonly encountered in OCR, CAPTCHA recognition, optical illusions and human digit interpretation tasks.
🔸Each image contains two-digit numbers generated using the Humor-Sans font (font_size=32, cell_w=60, cell_h=40). For each confusion category, ~1000 images are included.
🔢 Categories of Digit Anomalies
🔸 Digit shape confusion (similar glyphs) → 11 ↔ 17, 21 ↔ 27, 71 ↔ 77
🔄 Mirror / rotation confusion → 69 ↔ 96, 68 ↔ 86, 89↔98, 26 ↔ 62
🎯 One-pixel stroke differences → 33 ↔ 38, 35 ↔ 36, 53 ↔ 58, 39↔89
🌀 Closed vs. open loop confusion → 38 ↔ 88, 98 ↔ 99, 18 ↔ 19, 56↔58, 28↔88
➿ Nearly identical when repeated → 88 ↔ 89, 11 ↔ 12, 55 ↔ 56
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