| # dataset_001 |
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| Created: 2026-05-06T20:34:50.691Z |
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| ## Purpose |
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| Control dataset for upscale/deblur experiments. In each blur set, `target/` contains the normalized original crop and `control/` contains the ComfyUI-style Gaussian blurred version of that target. |
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| ## Origin |
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| - Project root: `C:\Users\Daniel\Documents\coding_projects\upscale_dataset_maker` |
| - Crop manifest: `C:\Users\Daniel\Documents\coding_projects\upscale_dataset_maker\output\crops.json` |
| - Crop image source folder: `C:\Users\Daniel\Documents\coding_projects\upscale_dataset_maker\output\crops` |
| - Dataset folder: `C:\Users\Daniel\Documents\coding_projects\upscale_dataset_maker\dataset_001` |
| - Source Comfy workflow: `G:\comfy_dev\new\ComfyUI_windows_portable\ComfyUI\user\default\workflows\workflow_test_12312.json` |
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| ## Comfy Blur Node |
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| - Node type: `ImageBlur` |
| - Display name: `Image Blur` |
| - Python module: `comfy_extras.nodes_post_processing` |
| - Workflow node id: `133` |
| - Workflow settings: `blur_radius=5`, `sigma=1` |
| - Dataset settings: radii `5, 10`, sigma `1` |
| - Caption written beside each target image: `upscale this image to 4k` |
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| The script ports Comfy's Gaussian kernel construction: kernel size is `blur_radius * 2 + 1`, coordinates are sampled with `linspace(-1, 1, kernel_size)`, weights use `exp(-(d*d)/(2*sigma*sigma))`, the kernel is normalized, and images are mirror-padded before convolution to match Comfy's reflect padding behavior. |
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| ## Counts |
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| - Crops: 414 |
| - Target size: 1024x1024 |
| - Crops resized down to target size: 303 |
| - Target images per blur set: 414 |
| - Control images per blur set: 414 |
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| ## Structure |
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| - `blur_5/control/`: blurred control images with Comfy `ImageBlur` `blur_radius=5`, `sigma=1`. |
| - `blur_5/target/`: matching original target images for radius 5. |
| - `blur_10/control/`: blurred control images with Comfy `ImageBlur` `blur_radius=10`, `sigma=1`. |
| - `blur_10/target/`: matching original target images for radius 10. |
| - `metadata/source_crops.json`: copy of the app crop manifest. |
| - `metadata/crops.jsonl`: one record per crop with source paths, crop coordinates, per-radius target/control paths, and hashes. |
| - `metadata/pairs_all.jsonl`: all control to target pairs. |
| - `metadata/pairs_blur_5.jsonl`: control/target pairs for radius 5. |
| - `metadata/pairs_blur_10.jsonl`: control/target pairs for radius 10. |
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| Each `target/` image has a same-basename `.txt` caption file for ai-toolkit paired training. |
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| ## Regeneration |
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| `node scripts/create-control-dataset.mjs --dataset dataset_001 --radii 5,10 --sigma 1 --size 1024 --force` |
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