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clean.py
Dataset Summary
A architecture dataset with image depth modality, stored in jsonl format.
Preprocessing & Augmentation
- Preprocessing: aggressive
- Augmentation: autoaugment
Splits & Sampling
- Split strategy: random 90 10
- Sampling: contrastive
Quality & Labeling
- Quality filtering: adaptive
- Labeling: manual
Files
clean.py— main artifact of this repository
License
See the license field above.
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