April 25, 2026
PDFs, no code, big feelings
Per-image PCA characterization of the Kodak image suite (PDF and JSON)
Old Kodak pics get mathy profiles — community asks: cool, but where’s the code
TLDR: A GitHub repo posted PDFs and JSONs profiling old Kodak test photos with PCA math, but no code. Commenters clashed: confused users asked how to install anything, while veterans argued the dataset is outdated and urged real code and modern images—highlighting the ongoing battle over usefulness and reproducibility.
A new GitHub drop delivers per-image “profiles” for the classic Kodak photo set — basically PDFs and JSON files with number-heavy summaries powered by PCA, which is a simple math way to spot patterns in pictures. The catch? It’s all stats, no scripts. Cue the comments: first up, a baffled “How to install” that set the tone for confusion and comedy. Then came the reality check from a veteran: no code, questionable usefulness, and a spicy reminder that the Kodak set — like the infamous Lena picture — is ancient history in image science. The mood split fast. Nostalgia fans loved the throwback; pragmatists rolled their eyes, saying this is only good for double-checking your own math. One hot take warned that if your image tricks work on Kodak, they might “be pretty bad on other images.” Oof. Meanwhile, meme energy bubbled up: folks joked about “PDF-as-a-service,” “pip install: vibes,” and GitHub repos that drop files like mixtapes with no liner notes. Under the laughs, a serious theme emerged: if you want the community to care, share code, not just charts. And maybe… pick a dataset from this decade
Key Points
- •Public repository lists per-image PCA statistical profiles for the Kodak image suite.
- •Each KODIM01–KODIM24 image has a PDF report (STATISTICAL_PROFILE) and a matching JSON stats file.
- •A master summary file, kodak_suite_master_stats.json, aggregates statistics for the entire suite.
- •The files are organized under a baseline directory; a .gitkeep is present.
- •No code or installation instructions are shown—only PDFs and JSON data artifacts are provided.