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# filament needed, resulting in strong, accurate, and visually appealing prints."
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## Applications
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This dataset is suitable for:
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1. **Automated Quality Control**: Develop models to automatically detect printing defects
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2. **Flow Rate Calibration**: Train systems to recommend optimal flow rate settings
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3. **Vision-Language Models**: Fine-tune multimodal models for manufacturing domain
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4. **Predictive Maintenance**: Identify early signs of printing issues
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5. **Education**: Teaching resource for 3D printing optimization and machine learning
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## Dataset Statistics
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### Flow Rate Distribution
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The dataset contains a diverse range of flow rates to capture various extrusion conditions:
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- Minimum: ~39%
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- Maximum: ~265%
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- Coverage includes under-extrusion, optimal, and over-extrusion scenarios
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### Geometric Diversity
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Print geometries include:
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- Cylinders and cones
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- Test cubes
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- Polygons (30x70, 40x70)
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- Hashtag patterns
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- Gears and complex geometries
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- Tetris shapes
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- Custom cuts and patterns
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### Layer Heights
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- 1.0mm layer height
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- 5.0mm layer height
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## Limitations
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- Single camera angle (camera1 only)
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- Limited to one printer model (CCR20PRO)
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- No temporal sequences (single frames only)
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- Nozzle position annotations are 2D pixel coordinates, not 3D world coordinates
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## Citation
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If you use this dataset in your research, please cite:
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# filament needed, resulting in strong, accurate, and visually appealing prints."
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```
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## Citation
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If you use this dataset in your research, please cite:
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