--- license: cc-by-4.0 pretty_name: Focus Stack Sample (999-frame macro stack) tags: - focus-stacking - macro-photography - photography - image-alignment - depth-of-field - raw - benchmark size_categories: - n<1K task_categories: - image-to-image configs: - config_name: default data_files: - split: train path: tiff/*.tif --- # Focus Stack Sample A real-world macro focus stack of **999 frames**, shot on a Canon EOS R5 Mark II with the RF 100mm F2.8 L Macro. It is meant as test data for focus-stacking software: alignment, fusion, depth-map estimation and performance on long stacks. ![All 999 frames stacked](preview/stacked.jpg) *All 999 frames stacked. Individual frames are shallow slices of this depth range, as the samples below show.* | Frame 0 | Frame 499 | Frame 998 | | :---: | :---: | :---: | | ![frame 0](preview/frame_000.jpg) | ![frame 499](preview/frame_499.jpg) | ![frame 998](preview/frame_998.jpg) | ## Dataset structure ``` tiff/frame_000.tif … frame_998.tif 8-bit sRGB TIFF, deflate, 5118×3412 raw/frame_000.CR3 … frame_998.CR3 Canon CR3 originals, 5088×3392 (1.6× crop mode) preview/ JPEG previews (not part of the stack) SHA256SUMS checksums for tiff/ and raw/ ``` Frames are numbered in shooting order, so the first *N* frames are always a contiguous slice of the focus range. Four subset sizes are served by a single glob each: | Frames | TIFF pattern | TIFF size | CR3 size | | ---: | --- | ---: | ---: | | 10 | `tiff/frame_00?.tif` | 251 MB | 85 MB | | 100 | `tiff/frame_0??.tif` | 2.5 GB | 845 MB | | 500 | `tiff/frame_[0-4]??.tif` | 13 GB | 4.2 GB | | 999 | `tiff/*` | 25 GB | 8.4 GB | For CR3, swap `tiff/…tif` for `raw/…CR3`. ## Download ### CLI ```bash pip install -U huggingface_hub hf download jjjsood/focus-stack-sample --repo-type dataset --local-dir focus-stack --include "tiff/frame_00?.tif" # 10 hf download jjjsood/focus-stack-sample --repo-type dataset --local-dir focus-stack --include "tiff/frame_0??.tif" # 100 hf download jjjsood/focus-stack-sample --repo-type dataset --local-dir focus-stack --include "tiff/frame_[0-4]??.tif" # 500 hf download jjjsood/focus-stack-sample --repo-type dataset --local-dir focus-stack --include "tiff/*" # 999 ``` ### Python ```python from huggingface_hub import snapshot_download path = snapshot_download( "jjjsood/focus-stack-sample", repo_type="dataset", allow_patterns="tiff/frame_0??.tif", # first 100 frames ) ``` ### Verify ```bash hf download jjjsood/focus-stack-sample SHA256SUMS --repo-type dataset --local-dir focus-stack cd focus-stack && sha256sum -c SHA256SUMS --ignore-missing ``` ## Capture | | | | --- | --- | | Camera | Canon EOS R5 Mark II | | Lens | Canon RF 100mm F2.8 L Macro IS USM | | Sensor mode | 1.6× crop (APS-C area), 17 MP, to save space; ~160 mm full-frame equivalent field of view | | Focal length | 100 mm | | Aperture | f/2.8 | | Exposure | 0.3 s | | ISO | 400 | | Frames | 999, in about 6 minutes | | Date | 2026-09-29 | ## Processing The CR3 files are unmodified camera originals. The TIFFs were developed from them with darktable 5.6 using its default settings, identical for every frame, and exported as 8-bit sRGB. No alignment, cropping or retouching was applied. The script that produced them is in the [GitHub repository](https://github.com/jjjsood/focus-stack-sample). Use the CR3 files if you need full bit depth or your own raw development. ## Uses - Testing and benchmarking focus-stacking tools on a long, real stack. - Evaluating frame alignment (focus breathing, small shifts between frames). - Depth-from-focus and depth-map experiments. - Stress-testing memory use and throughput: 999 × 17 MP frames. ## License and citation [CC BY 4.0](LICENSE). Please credit Johannes Sood. ```bibtex @misc{sood2026focusstacksample, author = {Johannes Sood}, title = {Focus Stack Sample: a 999-frame macro focus stack}, year = {2026}, howpublished = {\url{https://huggingface.co/datasets/jjjsood/focus-stack-sample}} } ```