Dataset Viewer
Auto-converted to Parquet Duplicate
sample_id
stringlengths
10
10
source
stringclasses
2 values
split
stringclasses
1 value
image
unknown
mask
unknown
image_filename
stringlengths
21
21
mask_filename
stringlengths
19
19
image_sha256
stringlengths
64
64
mask_sha256
stringlengths
64
64
image_bytes
int64
1.92k
75M
mask_bytes
int64
504
6.26M
hls_000000
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000000_merged.tif
hls_000000.mask.tif
256825373fd01eec0da0d341d7b3f683e03d0d71e2f3e58a69f7fc3ba6ad4348
ad8ae249875ff8db4ee9e5cfa75b1b38538eba7bfbd4489cb1f9066fd0ef2d27
6,295,168
525,272
hls_000001
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000001_merged.tif
hls_000001.mask.tif
5bfabd93187e797768def14b12e9e691cee55ff9d5ea3bea306d36950384ce55
aedb31337938a265abaec5d04d77a2fb47eacc635bf7f88970d699e5cd9d533d
6,295,168
525,272
hls_000002
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000002_merged.tif
hls_000002.mask.tif
a278dc790ec2e7567ba455f07e4aef269316190189449802d00dc5a344777e96
47617deec03407e7e315a7158fda4ee79d2422f18b7f33307ff2fc7a02bd129e
6,295,168
525,272
hls_000003
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000003_merged.tif
hls_000003.mask.tif
c15b154fd78222282e92ff36e9a1c98085354451146a039c44ad105c2bfed045
53a548b6723eac3673bf34286017eec97f4170eed16907d6ee12042bbccacba3
6,295,168
525,272
hls_000004
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000004_merged.tif
hls_000004.mask.tif
eca35b289c8a76db739fb142532b50e6373915970cc42bcac7d0096c0025608b
2dd32e197b83c225373af4cd22a60b6df8fd7fbedaaa3767bac6c74053916ab9
6,295,168
525,272
hls_000005
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000005_merged.tif
hls_000005.mask.tif
bfc7ad5433c1ee67f6575902fdb0e98a37fc15614d2ec24b9e4cb327976516b7
708d1f66bcc469afbc5173c1cd95b02e464c3329866014b608f3ecd874366824
6,295,168
525,272
hls_000006
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000006_merged.tif
hls_000006.mask.tif
cd11243f560d890a5564d88cd324ba58b609d3c485ae3cf9de0b449f79284bf7
2d224291e73af898156c7d411f08dc4dc2dc5975dffa1d9a7c4a3aa924394128
6,295,168
525,272
hls_000007
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000007_merged.tif
hls_000007.mask.tif
5c47377b6bb1be8f9a007a3f59777ec7945bfcd02cecda64293834de34541c28
38321c9a63f61fbe58533e9ec88d30daa58811e90773b770e5ccec0baf77aa97
6,295,168
525,272
hls_000008
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000008_merged.tif
hls_000008.mask.tif
8fc392bef2f7b0699f087846ef96baaa585c909493fc14029e70a1f60293f94c
45703c88064b482a8c5247460257d0d75fc3c7f953a1941b401988c210d270f1
6,295,168
525,272
hls_000009
hls
train
"SUkqAAgAAAASAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwAGAAAA5gAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAA(...TRUNCATED)
"SUkqAAgAAAARAAABAwABAAAAAAIAAAEBAwABAAAAAAIAAAIBAwABAAAAEAAAAAMBAwABAAAAAQAAAAYBAwABAAAAAQAAABEBBAB(...TRUNCATED)
hls_000009_merged.tif
hls_000009.mask.tif
98e30b354bbceed46d3e6e1d2c3178c6fba27bf13f9a231ad12175c2374de16b
2b615ce4738332d4ccce0aa30a45254c828b28c2f68f2b73a395394a6d813eff
6,295,168
525,272
End of preview. Expand in Data Studio

FireViewer Prithvi Burn Scars Training Dataset v1

Dataset matérialisé de segmentation de cicatrices de brûlage pour Prithvi-EO-2.0-300M-BurnScars. Une cicatrice de brûlage n’est pas un incendie actif.

Contenu

  • 32 534 paires GeoTIFF image/masque dans 20 shards Parquet.
  • Train : 20 847.
  • Validation : 5 341.
  • Test : 6 346.

Sources

  • NASA HLS : 804 scènes, uniquement train et validation.
  • EO4Wildfires : 31 730 scènes, dont l’intégralité du test.

Le test mesure donc principalement la généralisation EO4 et ne démontre pas une généralisation indépendante à HLS.

Bandes et masque

Ordre exact des bandes : BLUE, GREEN, RED, NIR_NARROW, SWIR_1, SWIR_2.

Valeurs du masque : not_burned=0, burned=1, ignore=-1.

Le géoréférencement d’origine est conservé sans reprojection. Les CRS et géotransformations intégrés aux GeoTIFF font autorité.

Chargement

Les GeoTIFF sont stockés comme champs binaires dans Parquet. Le Dataset Viewer ne les décode pas comme rasters ; le consommateur doit reconstruire les octets GeoTIFF et respecter l’ordre des bandes et les valeurs de masque.

dataset-manifest.json, materialization-report.json et les listes de split documentent l’intégrité et la matérialisation.

Statut de publication FireViewer

Publication publique de recherche. Dataset d’entraînement pour segmentation de cicatrices ; aucune inférence ne doit être interprétée comme détection d’un feu actif.

Limites et sécurité

FireViewer est un projet de recherche et développement. Ce dataset n’est ni un service d’alerte, ni une source officielle, ni un outil de conduite des secours. Il ne doit pas être utilisé seul pour la sécurité des personnes, une décision d’intervention, une expertise d’assurance ou une preuve juridique.

Les observations, reconstructions, annotations et simulations doivent être interprétées avec leur provenance, leur confiance et leurs limites. Une interpolation rétrospective n’est ni une observation directe ni une prévision.

Droits

La licence other est conservée car les conditions détaillées des sources NASA HLS et EO4Wildfires doivent être vérifiées séparément. La carte n’accorde aucun droit supplémentaire.

Identité et contact

FireViewer est un projet distinct maintenu par Unicorn Who Dev. Les espaces fireviewer sur GitHub et Hugging Face sont ses espaces de publication canoniques.

Contact public, provenance, droits et demandes de retrait : unicornwhodev@gmail.com.

Downloads last month
88