diff --git a/README.md b/README.md index 723c998c1c3633e078fdc46cc7c75743d68b27d8..e3a867b9e79a505819065bb758b8c57c37198665 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,8 @@ tags: configs: - config_name: default data_files: + - split: test + path: data/test/** - split: train path: data/train/** --- @@ -27,34 +29,22 @@ single phone photo, as the first step of estimating the thousand-kernel weight (TKW = mass ÷ count × 1000). A 1 % count error is a 1 % TKW error, so the collection protocol is built around label correctness. -> **Status: work in progress.** Collection is ongoing; species, lots and the test split -> will be added. Built 2026-10-05 from 3 sessions. -> -> **Preliminary release, label review pending.** A cross-check against weights and point -> annotations found count errors in S03 cards 20–23. Cards 21 and 22 are excluded for good; -> cards 20 and 23 are held back until recounted. Point annotations cover only a few photos -> so far. Counts may still change. -> -> **Known open issue:** on S01 cards 19–30, every annotated photo has 5–8 fewer kernel -> points than `count`, while no missed kernel shows up in them. `count` there may be about -> 6 too high, which would affect every S01 photo from card 17 on except the recounted CHECK -> card 24. This is being checked by annotating a CHECK photo. - ## Contents | | | |---|---| -| Images | 457 | -| Arrangements (distinct kernel layouts) | 86 | -| Kernels per image | 225 – 798 | +| Images | 531 | +| Arrangements (distinct kernel layouts) | 117 | +| Kernels per image | 170 – 800 | | Images with point annotations | 28 | -| Splits | train: 457 | +| Splits | test: 74, train: 457 | | Session | Species | Lot | Light | Chaff | Cameras | Images | Arrangements | Kernels | |---|---|---|---|---|---|---|---|---| | S01 | rye-w | rye-w-A | desk | light | Galaxy S23, iPhone 8 | 108 | 27 | 274–787 | | S02 | oats-s | oats-s-A | desk | none | Galaxy S23, iPhone 8 | 124 | 31 | 240–798 | | S03 | barley-w | barley-w-A | desk | light | Galaxy S23, SM-P610, iPhone 8 | 225 | 28 | 225–733 | +| S04 | wheat-w | wheat-w-A | desk | light | Pixel 9 | 74 | 31 | 170–800 | ## Fields @@ -133,22 +123,19 @@ A script decodes the card photos and assigns their total to the photos that foll It checks that every total follows from the previous one and the card's delta. A group whose chain breaks (a skipped or unread card) stays *suspect* until the next CHECK, and groups before an INVALIDATE are *invalidated*. **Only groups whose chain validated are in -this dataset**, after a review of every group by eye. One exception: S01 cards 9–11 were -invalidated by the chain but are included, because their point annotations match `count` -exactly. In S02 the Galaxy S23 missed the card photos of cards 6 and 22; its photos of -those two layouts are placed on the card by hand, because they show the same layout as the -iPhone 8 photos of that card, and the chain validates with them. Card photos and scale -photos are not included. +this dataset**, after a review of every group by eye. + +Card photos and scale photos are not included. ## Splitting -Images are **not independent**: every arrangement appears in 2–22 photos (several phones, +Images are **not independent**: every arrangement appears in 1–22 photos (several phones, several angles), and consecutive arrangements of a session share most of their kernels. Split by `lot`, or at least by `session`; never by image, and never by `arrangement_id` alone. The intended evaluation holds out winter soft wheat (`wheat-w`) entirely, plus at least one -lot of every training species. There is no `test` split yet: no held-out lot or species has been collected so far, so everything is in `train`. +lot of every training species. The `test` split follows that rule. ## Loading @@ -180,10 +167,25 @@ a kernel was missed or lies at the edge of the frame. `count` stays the label. - Only the species and lots in the table above so far. - Some sessions contain chaff and broken kernels (`chaff` ≠ `none`). They are visible in the photos and deliberately not part of the count. -- The background around the sheet, paper, lighting and phones vary between sessions, but not - systematically; some photos show printed square markers or paper clips on the sheet. -- `weight_g` is only filled in for weighed CHECK groups and is typed in by hand from a photo - of the scale display. + +## Contributing + +New sessions are welcome. **Do not upload photos to this repository directly.** Every file +here is generated by the export script from reviewed labels; photos without a +`metadata.jsonl` row have no count and are useless for training. The tools are in the +[project repository](https://github.com/SmartFarmingLab/corn1000) (private, access on +request from the Smart Farming Lab). + +1. **Plan:** `tools/plan_session.py --species … --lot … --light … --chaff …` + writes `sessions//plan.json` and the cards to print. Keep `plan.json`: it is + the reference the labels are checked against. +2. **Shoot** the session as described under [Procedure](#procedure). +3. **Label:** copy the original files (not via a messenger) to `sessions//` and run + `tools/sort_photos.py sessions/ --out labels/`. +4. **Review** every group in `labels//review.html` and mark the checked rows + `review=done` in `labels.csv`. +5. **Hand in** `plan.json`, `labels//` and the original photos to the maintainers + (the photos are too large for git). They run the export and upload the session here. ## License diff --git a/data/train/S04/PXL_20261015_110711637.jpg b/data/test/S04/S04-000_pixel-9_PXL_20261015_110711637.jpg similarity index 100% rename from data/train/S04/PXL_20261015_110711637.jpg rename to data/test/S04/S04-000_pixel-9_PXL_20261015_110711637.jpg diff --git a/data/train/S04/PXL_20261015_110731025.jpg b/data/test/S04/S04-000_pixel-9_PXL_20261015_110731025.jpg similarity index 100% rename from data/train/S04/PXL_20261015_110731025.jpg rename to data/test/S04/S04-000_pixel-9_PXL_20261015_110731025.jpg diff --git a/data/train/S04/PXL_20261015_110803598.jpg b/data/test/S04/S04-000_pixel-9_PXL_20261015_110803598.jpg similarity index 100% rename from data/train/S04/PXL_20261015_110803598.jpg rename to data/test/S04/S04-000_pixel-9_PXL_20261015_110803598.jpg diff --git a/data/train/S04/PXL_20261015_110806661.jpg b/data/test/S04/S04-000_pixel-9_PXL_20261015_110806661.jpg similarity index 100% rename from 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