diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..21f05ade1c7a7b6220d4861907a834df70ca7780 --- /dev/null +++ b/README.md @@ -0,0 +1,62 @@ +--- +license: other +task_categories: + - object-detection + - image-classification +tags: + - waste + - recycling + - smart-bin-recognition +--- + +# arudaev/smart-bin-detect + +Training data for **Smart Bin Recognition** – a validator ("is there a bin?") +and an identifier ("which bin?"). See +[`docs/04-ml-pipeline.md`](https://github.com/arudaev/Painfully-Trivial) for the +design, and the manifests in this repo for per-image provenance. + +**Every image carries provenance**: source, source URL, licence, region, +capture date, annotator where known, label origin (`human` / `machine` / +`legacy` / `open-images`) and adjudication status. Licences differ per subset and +are recorded per image; there is no single licence for the whole repo, which is +why the header says `other`. + +## Subsets + +### `legacy` + +| | | +|---|---| +| frames | 370 | +| boxes | 403 | +| crops | 403 | +| crops pending adjudication | 403 | +| bins per frame | {1: 341, 2: 25, 3: 4} | +| licence | MIT | +| region | de-by-deggendorf | +| label origin | legacy | + + +## How to read this + +Each subset directory is a self-contained pool: + +``` +/ +├── manifest.json provenance for every frame, and every crop +├── images/ full frames +├── labels/ YOLO labels; an EMPTY file means a deliberate background image +└── crops/ identifier candidates (present only where relevant) +``` + +`sbr.dataset.prepare.build_yolo_tree` assembles them into a training tree, +grouping frames by capture cluster so that two photographs of the same bin can +never straddle a split. + +## What this data is not + +The legacy subset is **one city in one week**, 370 usable frames, and not one +frame of it holds four or more bins. Numbers measured on it are +in-distribution numbers. 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