Add session count_1000 as the test split
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- README.md +13 -3
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README.md
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data_files:
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- split: train
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path: data/train/**
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---
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# corn1000 — counted cereal kernels on A4
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| Images |
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| Arrangements (distinct kernel layouts) |
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| Kernels per image | 170 –
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| Images with point annotations | 158 |
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| Session | Species | Pollution | Cameras | Images | Arrangements | Kernels |
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| S03 | barley-w | light | Galaxy S23, Galaxy Tab S6 Lite, iPhone 8 | 231 | 28 | 225–733 |
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| S04 | wheat-w | light | Galaxy Tab S6 Lite, Pixel 9 | 131 | 33 | 170–800 |
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| S05 | durum-w | light | Galaxy S23, iPhone 8 | 265 | 31 | 230–782 |
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## Fields
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against the Pixel photos.
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- **S05:** winter durum wheat (`durum-w`), lightly polluted; Galaxy S23 (shot as
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DNG) and iPhone 8; 2026-10-15.
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## Splitting
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Split by `session`; never by image, and never by `arrangement_id`
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alone.
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## Loading
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```python
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data_files:
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- split: train
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path: data/train/**
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- split: test
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path: data/test/**
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---
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# corn1000 — counted cereal kernels on A4
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| Images | 836 |
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| Arrangements (distinct kernel layouts) | 128 |
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| Kernels per image | 170 – 1000 |
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| Images with point annotations | 158 |
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| Session | Species | Pollution | Cameras | Images | Arrangements | Kernels |
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| S03 | barley-w | light | Galaxy S23, Galaxy Tab S6 Lite, iPhone 8 | 231 | 28 | 225–733 |
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| S04 | wheat-w | light | Galaxy Tab S6 Lite, Pixel 9 | 131 | 33 | 170–800 |
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| S05 | durum-w | light | Galaxy S23, iPhone 8 | 265 | 31 | 230–782 |
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| count_1000 | barley-w, durum-w, rye-w, wheat-w, oats-s | light, none | Galaxy S23, iPhone 8 | 85 | 5 | 1000–1000 |
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## Fields
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against the Pixel photos.
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- **S05:** winter durum wheat (`durum-w`), lightly polluted; Galaxy S23 (shot as
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DNG) and iPhone 8; 2026-10-15.
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- **count_1000:** the `test` split. All five species with exactly 1000 kernels in every
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photo, 13–21 photos per species; barley lightly polluted, the others not polluted;
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Galaxy S23 (shot as DNG) and iPhone 8; 2026-10-26. No session cards were photographed:
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the species were assigned by capture time and checked by eye, and each species is one
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`arrangement_id`.
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## Splitting
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Split by `session`; never by image, and never by `arrangement_id`
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alone.
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The `test` split is session `count_1000` (see *Sessions*); `train` holds all other sessions.
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## Loading
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```python
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