# 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: