| --- |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| tags: |
| - 3d-printing |
| - fdm |
| - print-failure |
| - snapmaker-u1 |
| size_categories: |
| - n<1K |
| pretty_name: 3d-cli print-failure frames |
| --- |
| |
| # 3d-cli print-failure frames |
|
|
| Camera frames from two FDM printers (Snapmaker U1, Creality K1 SE), labelled for the tier (b) |
| whole-frame vision model of [3d-cli](https://github.com/alex-mextner/3d-cli) (`3d printer vision`; |
| code: `tools/vision_train`). Classes: `healthy`, `spaghetti`, `part_detached`, `empty_bed`. |
|
|
| **This set is small and unbalanced.** 421 healthy frames from printing and a handful of |
| failure frames (7 empty_bed, 1 part_detached, 7 spaghetti). It is meant to be extended with frames recorded by `3d printer vision record`; it is |
| not enough to train a detachment detector on its own. `part_detached` is one event (a large |
| honeycomb panel that peeled off the plate): do not read a metric computed on it as evidence. |
|
|
| ## Files |
|
|
| - `own/frames/<id>.jpg`: sanitised frames (`<id>` = first 16 hex of the file's sha256). |
| - `labels.jsonl`: `id, file, label, split (train|test), group (one print or event: keep a group |
| on one side of a split), printer, source, width, height, sha256, qr_masked`. |
| - `sanitation.json`: per source how many frames were found, published, refused or masked, and the |
| tool versions. `DATASET_SHA256`: sha256 over the sorted `id|sha256|label|split` lines of the |
| published rows (the id of the dataset revision a model card pins). |
|
|
| ## Sanitation |
|
|
| Frames were decoded and re-encoded (EXIF/ICC removed), cropped to the printer's bed-and-part area |
| (rooms, windows, screens and the chamber's back wall with its QR stickers are outside the crop), |
| QR codes were painted over, and a face and person detector (OpenCV Haar + HOG) refused any frame |
| with a hit (36 frames refused). File names carry no timestamps or project names. The |
| automatic checks are no proof: contact sheets of every published frame were reviewed by a human |
| before publishing. If you find a frame that should not be here, open an issue on the GitHub repo. |
|
|
| ## Licence and provenance |
|
|
| All frames are the owner's own captures: CC-BY-4.0. The prints on the bed are the owner's own |
| models and models downloaded from model sites; no model files are included. The public frame |
| collections used for evaluation next to this set (spaghetti, bed-adhesion failures, ...) carry |
| their own licences and are **not** redistributed here; their provenance is documented in the |
| 3d-cli repository (docs/research/printer-vision-tuning.md). |
|
|
| ## Revision |
|
|
| Dataset sha256 `306bd93d73a5dfc7d966dfb6e230b2247ee6da5c42a6ecf0f62213b37791fc8e`; built by `tools/vision_train/dataset.py` at 3d-cli commit `a06ced7554e6d172844166675447f3e2d26c7e8a`. |
|
|
