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Upload dataset archives

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README.md ADDED
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+ ---
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+ license: mit
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+ language: en
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+ tags:
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+ - image
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+ - color-calibration
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+ - object-detection
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+ - yolo
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # Card Calibration Dataset (v1)
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+
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+ 255 hand-collected photos of color calibration cards, with augmentations,
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+ YOLO annotations, and extracted feature crops.
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+
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+ Used to train [`jeffliulab/card-calibration-v1`](https://huggingface.co/jeffliulab/card-calibration-v1).
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+ Live demo: [`jeffliulab/card-calibration-v1` Space](https://huggingface.co/spaces/jeffliulab/card-calibration-v1).
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+
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+ ## Contents
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+
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+ | Archive | Files | Description |
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+ |---|---|---|
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+ | `raw_photos.tar.gz` | 255 | Original hand-collected photos |
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+ | `augmented_images.tar.gz` | 2,294 | Albumentations-augmented variants (brightness/hue/blur/etc) |
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+ | `feature_crops.tar.gz` | 9,154 | Center-region patch crops (4 patches × ~2,294 images) |
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+ | `yolo_card_dataset.tar.gz` | 510 | YOLO stage-1 training set (card detection) |
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+ | `yolo_pattern_dataset.tar.gz` | 510 | YOLO stage-2 training set (pattern detection) |
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+ | `yolo_labeled_card.tar.gz` | 510 | Raw YOLO annotations (stage 1) |
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+ | `yolo_labeled_patterns.tar.gz` | 510 | Raw YOLO annotations (stage 2) |
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+ | `generalization_test.png` | 1 | Held-out generalization test photo |
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+ | `features/feature_0216.csv` | 1 | Final training feature CSV (12-D + target) |
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+ | `features/GridMean_0216.csv` | 1 | Intermediate grid mean values |
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+ | `features/unique_colors.csv` | 1 | Unique color reference values |
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+
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+ ## Usage
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+
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+ The companion repo provides a one-command download script:
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+
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+ ```bash
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+ git clone https://github.com/jeffliulab/Color_Calibration.git
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+ cd Color_Calibration
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+ python scripts/dataset_download.py
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+ ```
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+
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+ This downloads all archives and extracts them into `data/` matching the layout
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+ expected by the training scripts in `src/`.
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+
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+ ## Manual download
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+
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+ ```python
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+ from huggingface_hub import snapshot_download
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+ snapshot_download(
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+ repo_id="jeffliulab/card-calibration-v1-data",
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+ repo_type="dataset",
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+ local_dir="./dataset_cache",
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+ )
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+ ```
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+
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+ ## Known issues
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+
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+ 6 augmented feature crop files are missing (gsutil transfer failures during
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+ the migration from GCS). These are non-critical center-region crops and do not
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+ affect training or evaluation.
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+
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+ ## License
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+
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+ MIT — both data and code are freely available for research and commercial use.
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