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+ # Project Halide Training Data
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+ Film defect detection training data for MiniCPM-V 4.6 fine-tuning.
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+ ## Dataset
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+ **FilmDamageSimulator** (Eurographics 2023)
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+ - 10 film scans (4K resolution)
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+ - 12,137 defect annotations
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+ - 5 classes: dust, dirt, short_hair, long_hair, scratch
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+ - All bounding boxes normalized to [0.0-1.0]
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+
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+ ## Format
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+ JSONL with structure:
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+ ## Classes
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+ | Class | Count | Color |
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+ |-------|-------|-------|
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+ | dust | 7,631 | Red |
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+ | dirt | 2,700 | Orange |
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+ | short_hair | 1,341 | Cyan |
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+ | long_hair | 399 | Green |
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+ | scratch | 66 | Yellow |
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+
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+ ## Source
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+ Original data from [FilmDamageSimulator](https://github.com/daniela997/FilmDamageSimulator).
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+ Citation:
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+