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feat(studio): set Cham V24 as default model and temporarily hide V25
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feat(ocr): integrate dedicated Vietnamese PP-OCRv5 model and streamline dropdown
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feat(studio): deploy academic English UI, 7-tab research methodology, dual-language docs & GitHub integration
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feat(studio): deploy academic English UI, 7-tab research methodology, dual-language docs & GitHub integration
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feat(studio): deploy specialized Cham-DBNet detector (F1 99.60%)
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feat(studio): simplify UI by standardizing on DBNet text segmentation
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fix(studio): make albumentations optional in generate_data.py and trigger rebuild
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feat(studio): deploy Cham OCR Model V24 (98.64% acc, stanza prefixes & double danda fixes)
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fix: initialize profiler_dict for DBNet and safe base64 decode
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feat: integrate PaddleOCR DBNet detection into Studio
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fix(studio): resolve crash on empty coords, Cham unicode block, and safe NMS
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