File size: 667 Bytes
df3ed13 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | # Project Halide Training Data
Film defect detection training data for MiniCPM-V 4.6 fine-tuning.
## Dataset
**FilmDamageSimulator** (Eurographics 2023)
- 10 film scans (4K resolution)
- 12,137 defect annotations
- 5 classes: dust, dirt, short_hair, long_hair, scratch
- All bounding boxes normalized to [0.0-1.0]
## Format
JSONL with structure:
## Classes
| Class | Count | Color |
|-------|-------|-------|
| dust | 7,631 | Red |
| dirt | 2,700 | Orange |
| short_hair | 1,341 | Cyan |
| long_hair | 399 | Green |
| scratch | 66 | Yellow |
## Source
Original data from [FilmDamageSimulator](https://github.com/daniela997/FilmDamageSimulator).
Citation:
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