patch_id int64 24.2k 64.3k | center_x float64 606k 780k | center_y float64 5.31M 5.49M | row_start int64 11k 29.3k | row_end int64 11.1k 29.4k | col_start int64 10.8k 28.2k | col_end int64 10.9k 28.3k | valid_pixel_pct float64 1 1 | tree_pixel_pct float64 0.02 0.6 | mean_tree_count float64 0.03 0.93 | mean_tree_count_variance float64 0.03 0.42 | split stringclasses 1
value | block_col int64 1 4 | block_row int64 1 4 | block_id int64 9 27 | distance_to_nearest_test_km float64 38.1 138 | buffered bool 1
class | in_bavaria bool 1
class | zarr_idx int64 1 9 | sample_key stringclasses 9
values | shard_relpath stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
64,262 | 680,230 | 5,308,770 | 29,312 | 29,440 | 18,176 | 18,304 | 1 | 0.3922 | 0.5365 | 0.3174 | train | 3 | 1 | 9 | 38.106 | false | true | 1 | 000001 | data/shards/train-000000.tar |
62,631 | 742,950 | 5,316,450 | 28,544 | 28,672 | 24,448 | 24,576 | 1 | 0.3873 | 0.5726 | 0.2973 | train | 4 | 1 | 10 | 96.615 | false | true | 2 | 000002 | data/shards/train-000000.tar |
50,822 | 680,230 | 5,370,210 | 23,168 | 23,296 | 18,176 | 18,304 | 1 | 0.2089 | 0.3094 | 0.1684 | train | 3 | 2 | 15 | 54.279 | false | true | 3 | 000003 | data/shards/train-000000.tar |
52,580 | 780,070 | 5,362,530 | 23,936 | 24,064 | 28,160 | 28,288 | 1 | 0.1335 | 0.1667 | 0.126 | train | 4 | 2 | 16 | 137.695 | false | true | 4 | 000004 | data/shards/train-000000.tar |
32,022 | 629,030 | 5,455,970 | 14,592 | 14,720 | 13,056 | 13,184 | 1 | 0.4612 | 0.7325 | 0.3254 | train | 2 | 3 | 20 | 79.034 | false | true | 5 | 000005 | data/shards/train-000000.tar |
35,475 | 748,070 | 5,440,610 | 16,128 | 16,256 | 24,960 | 25,088 | 1 | 0.3473 | 0.4949 | 0.2877 | train | 4 | 3 | 22 | 132.506 | false | true | 6 | 000006 | data/shards/train-000000.tar |
25,564 | 605,990 | 5,485,410 | 11,648 | 11,776 | 10,752 | 10,880 | 1 | 0.022 | 0.0269 | 0.0259 | train | 1 | 4 | 25 | 98.406 | false | true | 7 | 000007 | data/shards/train-000000.tar |
24,175 | 620,070 | 5,491,810 | 11,008 | 11,136 | 12,160 | 12,288 | 1 | 0.5992 | 0.9334 | 0.3933 | train | 2 | 4 | 26 | 108.086 | false | true | 8 | 000008 | data/shards/train-000000.tar |
24,222 | 680,230 | 5,491,810 | 11,008 | 11,136 | 18,176 | 18,304 | 1 | 0.569 | 0.806 | 0.4161 | train | 3 | 4 | 27 | 117.75 | false | true | 9 | 000009 | data/shards/train-000000.tar |
Bavaria EO Benchmark (12-patch subset with DOP20)
A development subset of the Bavaria EO Benchmark: 12 patches (9 train, 2 validation, 1 test) sampled from the full grid, including DOP20 true-colour aerial orthophotos at 20 cm ground sampling distance alongside the usual 10 m Sentinel-1/2 stacks and tree-structure labels.
This release is not intended as a training corpus at scale.
Distribution format
data/
schema.json <- tensor member definitions (dtype, shape, band names)
index/
train.parquet <- 9 patches (metadata + locators only)
validation.parquet <- 2 patches
test.parquet <- 1 patch
shards/
train-000000.tar <- ~1.1 GB (all train samples + DOP20)
validation-000000.tar <- ~242 MB
test-000000.tar <- ~121 MB
metadata.json <- Croissant 1.0 JSON-LD
Per-sample members inside each .tar
Each patch uses a sample_key (6-digit zero-padded zarr_idx). Members share that prefix:
| Member | Shape | dtype | Description |
|---|---|---|---|
{key}.s2_*.f32 |
128×128×10 | float32 | Sentinel-2 seasonal composites (4 seasons) |
{key}.s1_*.f32 |
128×128×2 | float32 | Sentinel-1 seasonal composites (VV, VH) |
{key}.tree_species.u8 |
128×128 | uint8 | Tree species class IDs |
{key}.*_height*.f32, {key}.tree_*.f32 |
128×128 | float32 | Label rasters (see schema.json) |
{key}.dop20_rgb.u8 |
6400×6400×3 | uint8 | DOP20 RGB orthophoto (20 cm) |
{key}.json |
— | JSON | Patch id, centre coordinates, split |
Decode raw buffers with numpy.frombuffer(..., dtype=...).reshape(...) as in data/schema.json.
Croissant
metadata.json conforms to Croissant 1.0 and references data/schema.json, the index Parquets, and the shard FileSet globs.
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