diff --git a/docs/api/datasets.rst b/docs/api/datasets.rst index c492a233764..f5e171313c9 100644 --- a/docs/api/datasets.rst +++ b/docs/api/datasets.rst @@ -12,6 +12,12 @@ Geospatial Datasets :class:`GeoDataset` is designed for datasets that contain geospatial information, like latitude, longitude, coordinate system, and projection. Datasets containing this kind of information can be combined using :class:`IntersectionDataset` and :class:`UnionDataset`. +.. csv-table:: + :widths: 30 15 20 20 15 + :header-rows: 1 + :align: center + :file: geo_datasets.csv + Aboveground Woody Biomass ^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -125,6 +131,12 @@ Non-geospatial Datasets :class:`VisionDataset` is designed for datasets that lack geospatial information. These datasets can still be combined using :class:`ConcatDataset `. +.. csv-table:: C = classification, R = regression, S = semantic segmentation, I = instance segmentation, T = time series, CD = change detection, OD = object detection + :widths: 15 7 15 12 11 12 15 13 + :header-rows: 1 + :align: center + :file: non_geo_datasets.csv + ADVANCE ^^^^^^^ diff --git a/docs/api/geo_datasets.csv b/docs/api/geo_datasets.csv new file mode 100644 index 00000000000..7125728c7cf --- /dev/null +++ b/docs/api/geo_datasets.csv @@ -0,0 +1,17 @@ +Dataset,Type,Source,Size (px),Resolution (m) +`Aboveground Woody Biomass`_,Mask,"Landsat, LiDAR","~40,000x40,000",~30 +`Aster Global DEM`_,Mask,Aster,"3,601x3,601",30 +`Canadian Building Footprints`_,Labels,Generated,, +`Chesapeake Land Cover`_,"Imagery, Labels",,,1 +`Global Mangrove Distribution`_,Mask,Generated,,3 +`Cropland Data Layer`_,Labels,Aerial,, +`EDDMapS`_,Labels,Vector,, +`EnviroAtlas`_,"Imagery, Labels",Aerial,,1 +`Esri2020`_,Labels,Sentinel-2,,10 +`EU-DEM`_,Labels,"Aster, SRTM, Russian Topomaps",,25 +`GBIF`_,Labels,Vector,, +`GlobBiomass`_,Labels,Landsat,"45,000x45,000",~100 +`Landsat`_,Imagery,Landsat,,30 +`NAIP`_,Imagery,Aerial,,1 +`Open Buildings`_,Labels,Generated,, +`Sentinel`_,Imagery,Sentinel,,10 diff --git a/docs/api/non_geo_datasets.csv b/docs/api/non_geo_datasets.csv new file mode 100644 index 00000000000..5a09e83eada --- /dev/null +++ b/docs/api/non_geo_datasets.csv @@ -0,0 +1,33 @@ +Dataset,Task,Source,# Samples,# Classes,Size (px),Resolution (m),Bands +`ADVANCE`_,C,"Google Earth, Freesound","5,075",13,512x512,0.5,RGB +`Benin Cashew Plantations`_,S,Airbus Pléiades,70,6,"1,186x1,122",0.5,MSI +`BigEarthNet`_,C,Sentinel-1/2,"590,326",19--43,120x120,10,"SAR, MSI" +`COWC`_,"C, R","CSUAV AFRL, ISPRS, LINZ, AGRC","388,435",2,256x256,0.15,RGB +`Kenya Crop Type`_,S,Sentinel-2,"4,688",7,"3,035x2,016",10,MSI +`DFC2022`_,S,Aerial,,15,"2,000x2,000",0.5,RGB +`ETCI2021 Flood Detection`_,S,Sentinel-1,"66,810",2,256x256,5--20,SAR +`EuroSAT`_,C,Sentinel-2,"27,000",10,64x64,10,MSI +`FAIR1M`_,OD,Gaofen/Google Earth,"15,000",37,"1,024x1,024",0.3--0.8,RGB +`Forest Damage`_,OD,Drone imagery,"1,543",4,"1,500x1,500",,RGB +`GID-15`_,S,Gaofen-2,150,15,"6,800x7,200",3,RGB +`IDTReeS`_,"OD,C",Aerial,591,33,200x200,0.1--1,RGB +`Inria Aerial Image Labeling`_,O,Aerial,360,,"5,000x5,000",0.3,RGB +`LandCover.ai`_,S,Aerial,"10,674",5,512x512,0.25--0.5,RGB +`LEVIR-CD+`_,CD,Google Earth,985,2,"1,024x1,024",0.5,RGB +`LoveDA`_,S,Google Earth,"5,987",7,"1,024x1,024",0.3,RGB +`NASA Marine Debris`_,OD,PlanetScope,707,1,256x256,3,RGB +`NWPU VHR-10`_,I,"Google Earth, Vaihingen",800,10,"358--1,728",0.08--2,RGB +`OSCD`_,CD,Sentinel-2,24,2,"40--1,180",60,MSI +`PatternNet`_,C,Google Earth,"30,400",38,256x256,0.06--5,RGB +`Potsdam`_,S,Aerial,38,6,"6,000x6,000",0.05,MSI +`RESISC45`_,C,Google Earth,"31,500",45,256x256,0.2--30,RGB +`Seasonal Contrast`_,T,Sentinel-2,100K--1M,,264x264,10,MSI +`SEN12MS`_,S,"Sentinel-1/2, MODIS","180,662",33,256x256,10,"SAR, MSI" +`So2Sat`_,C,Sentinel-1/2,"400,673",17,32x32,10,"SAR, MSI" +`SpaceNet`_,I,WorldView-2/3 Planet Lab Dove,"1,889--28,728",2,102--900,0.5--4,MSI +`Tropical Cyclone`_,R,GOES 8--16,"108,110",,256x256,4K--8K,MSI +`UC Merced`_,C,USGS National Map,"21,000",21,256x256,0.3,RGB +`USAVars`_,S,NAIP Aerial,~100K,,,4,"RGB, NIR" +`Vaihingen`_,S,Aerial,33,6,"1,281--3,816",0.09,RGB +`xView2`_,CD,Maxar,"3,732",4,"1,024x1,024",0.8,RGB +`ZueriCrop`_,"I, T",Sentinel-2,116K,48,24x24,10,MSI diff --git a/docs/user/contributing.rst b/docs/user/contributing.rst index 4a9c133090d..5fcfd3cf48b 100644 --- a/docs/user/contributing.rst +++ b/docs/user/contributing.rst @@ -157,3 +157,18 @@ TorchGeo has a number of tutorials included in the documentation that can be run .. code-block:: console $ pytest --nbmake docs/tutorials + + +Datasets +-------- + +A major component of TorchGeo is the large collection of :mod:`torchgeo.datasets` that have been implemented. Adding new datasets to this list is a great way to contribute to the library. A brief checklist to follow when implementing a new dataset: + +* Implement the dataset extending either :class:`~torchgeo.datasets.GeoDataset` or :class:`~torchgeo.datasets.VisionDataset` +* Add the dataset definition to ``torchgeo/datasets/__init__.py`` +* Add a ``data.py`` script to ``tests/data//`` that generates test data with the same directory structure/file naming conventions as the new dataset +* Add appropriate tests with 100% test coverage to ``tests/datasets/`` +* Add the dataset to ``docs/api/datasets.rst`` +* Add the dataset metadata to either ``docs/api/geo_datasets.csv`` or ``docs/api/non_geo_datasets.csv`` + +A good way to get started is by looking at some of the existing implementations that are most closely related to the dataset that you are implementing (e.g. if you are implementing a semantic segmentation dataset, looking at the LandCover.ai dataset implementation would be a good starting point). diff --git a/torchgeo/datasets/advance.py b/torchgeo/datasets/advance.py index d87cd154390..2d08f1a22a7 100644 --- a/torchgeo/datasets/advance.py +++ b/torchgeo/datasets/advance.py @@ -20,7 +20,7 @@ class ADVANCE(VisionDataset): """ADVANCE dataset. - The `ADVANCE `_ + The `ADVANCE `__ dataset is a dataset for audio visual scene recognition. Dataset features: diff --git a/torchgeo/datasets/bigearthnet.py b/torchgeo/datasets/bigearthnet.py index 9b8bfe578ce..845bad3ead5 100644 --- a/torchgeo/datasets/bigearthnet.py +++ b/torchgeo/datasets/bigearthnet.py @@ -22,7 +22,7 @@ class BigEarthNet(VisionDataset): """BigEarthNet dataset. - The `BigEarthNet `_ + The `BigEarthNet `__ dataset is a dataset for multilabel remote sensing image scene classification. Dataset features: diff --git a/torchgeo/datasets/cbf.py b/torchgeo/datasets/cbf.py index 9781d90ee20..536415b0f24 100644 --- a/torchgeo/datasets/cbf.py +++ b/torchgeo/datasets/cbf.py @@ -17,7 +17,7 @@ class CanadianBuildingFootprints(VectorDataset): """Canadian Building Footprints dataset. The `Canadian Building Footprints - `_ dataset contains + `__ dataset contains 11,842,186 computer generated building footprints in all Canadian provinces and territories in GeoJSON format. This data is freely available for download and use. """ diff --git a/torchgeo/datasets/cdl.py b/torchgeo/datasets/cdl.py index 5e27ad9aba7..f862a64d79f 100644 --- a/torchgeo/datasets/cdl.py +++ b/torchgeo/datasets/cdl.py @@ -19,7 +19,7 @@ class CDL(RasterDataset): """Cropland Data Layer (CDL) dataset. The `Cropland Data Layer - `_, hosted on + `__, hosted on `CropScape `_, provides a raster, geo-referenced, crop-specific land cover map for the continental United States. The CDL also includes a crop mask layer and planting frequency layers, as well as diff --git a/torchgeo/datasets/dfc2022.py b/torchgeo/datasets/dfc2022.py index a9ad15728a9..8265a996289 100644 --- a/torchgeo/datasets/dfc2022.py +++ b/torchgeo/datasets/dfc2022.py @@ -22,7 +22,7 @@ class DFC2022(VisionDataset): """DFC2022 dataset. - The `DFC2022 `_ + The `DFC2022 `__ dataset is used as a benchmark dataset for the 2022 IEEE GRSS Data Fusion Contest and extends the MiniFrance dataset for semi-supervised semantic segmentation. The dataset consists of a train set containing labeled and unlabeled imagery and an diff --git a/torchgeo/datasets/eddmaps.py b/torchgeo/datasets/eddmaps.py index 2675a059c03..2866c9b288f 100644 --- a/torchgeo/datasets/eddmaps.py +++ b/torchgeo/datasets/eddmaps.py @@ -17,7 +17,7 @@ class EDDMapS(GeoDataset): """Dataset for EDDMapS. - `EDDMapS `_, Early Detection and Distribution Mapping + `EDDMapS `__, Early Detection and Distribution Mapping System, is a web-based mapping system for documenting invasive species and pest distribution. Launched in 2005 by the Center for Invasive Species and Ecosystem Health at the University of Georgia, it was originally designed as a tool for diff --git a/torchgeo/datasets/enviroatlas.py b/torchgeo/datasets/enviroatlas.py index 7bf8e35a8f6..8c6a75f85cd 100644 --- a/torchgeo/datasets/enviroatlas.py +++ b/torchgeo/datasets/enviroatlas.py @@ -27,7 +27,7 @@ class EnviroAtlas(GeoDataset): """EnviroAtlas dataset covering four cities with prior and weak input data layers. The `EnviroAtlas - `_ dataset contains NAIP aerial imagery, + `__ dataset contains NAIP aerial imagery, NLCD land cover labels, OpenStreetMap roads, water, waterways, and waterbodies, Microsoft building footprint labels, high-resolution land cover labels from the EPA EnviroAtlas dataset, and high-resolution land cover prior layers. diff --git a/torchgeo/datasets/eudem.py b/torchgeo/datasets/eudem.py index ce3af8a8565..cac0b0cf03c 100644 --- a/torchgeo/datasets/eudem.py +++ b/torchgeo/datasets/eudem.py @@ -18,7 +18,7 @@ class EUDEM(RasterDataset): """European Digital Elevation Model (EU-DEM) Dataset. The `EU-DEM - `_ + `__ dataset is a Digital Elevation Model of reference for the entire European region. The dataset can be downloaded from this `website `_ diff --git a/torchgeo/datasets/eurosat.py b/torchgeo/datasets/eurosat.py index 3395ff58d10..89953a5f37f 100644 --- a/torchgeo/datasets/eurosat.py +++ b/torchgeo/datasets/eurosat.py @@ -18,7 +18,7 @@ class EuroSAT(VisionClassificationDataset): """EuroSAT dataset. - The `EuroSAT `_ dataset is based on Sentinel-2 + The `EuroSAT `__ dataset is based on Sentinel-2 satellite images covering 13 spectral bands and consists of 10 target classes with a total of 27,000 labeled and geo-referenced images. diff --git a/torchgeo/datasets/fair1m.py b/torchgeo/datasets/fair1m.py index 3d64d4827c5..480867946cf 100644 --- a/torchgeo/datasets/fair1m.py +++ b/torchgeo/datasets/fair1m.py @@ -53,7 +53,7 @@ def parse_pascal_voc(path: str) -> Dict[str, Any]: class FAIR1M(VisionDataset): """FAIR1M dataset. - The `FAIR1M `_ + The `FAIR1M `__ dataset is a dataset for remote sensing fine-grained oriented object detection. Dataset features: diff --git a/torchgeo/datasets/gbif.py b/torchgeo/datasets/gbif.py index d1cd4afb209..43f14a34423 100644 --- a/torchgeo/datasets/gbif.py +++ b/torchgeo/datasets/gbif.py @@ -58,7 +58,7 @@ def _disambiguate_timestamps( class GBIF(GeoDataset): """Dataset for the Global Biodiversity Information Facility. - `GBIF `_, the Global Biodiversity Information Facility, + `GBIF `__, the Global Biodiversity Information Facility, is an international network and data infrastructure funded by the world's governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth. diff --git a/torchgeo/datasets/gid15.py b/torchgeo/datasets/gid15.py index 83b0f7923bd..08c39037c23 100644 --- a/torchgeo/datasets/gid15.py +++ b/torchgeo/datasets/gid15.py @@ -20,7 +20,7 @@ class GID15(VisionDataset): """GID-15 dataset. - The `GID-15 `_ + The `GID-15 `__ dataset is a dataset for semantic segmentation. Dataset features: diff --git a/torchgeo/datasets/idtrees.py b/torchgeo/datasets/idtrees.py index b75e36411f9..95ff421bef3 100644 --- a/torchgeo/datasets/idtrees.py +++ b/torchgeo/datasets/idtrees.py @@ -23,7 +23,7 @@ class IDTReeS(VisionDataset): """IDTReeS dataset. - The `IDTReeS `_ + The `IDTReeS `__ dataset is a dataset for tree crown detection. Dataset features: diff --git a/torchgeo/datasets/inria.py b/torchgeo/datasets/inria.py index 813e61a2d8a..03df8c43e71 100644 --- a/torchgeo/datasets/inria.py +++ b/torchgeo/datasets/inria.py @@ -22,7 +22,7 @@ class InriaAerialImageLabeling(VisionDataset): r"""Inria Aerial Image Labeling Dataset. The `Inria Aerial Image Labeling - `_ dataset is a building + `__ dataset is a building detection dataset over dissimilar settlements ranging ranging from densely populated areas to alpine towns. Refer to the dataset homepage to download the dataset. diff --git a/torchgeo/datasets/landcoverai.py b/torchgeo/datasets/landcoverai.py index b34ba8a5edf..cc8f29bd7fb 100644 --- a/torchgeo/datasets/landcoverai.py +++ b/torchgeo/datasets/landcoverai.py @@ -23,7 +23,7 @@ class LandCoverAI(VisionDataset): r"""LandCover.ai dataset. - The `LandCover.ai `_ (Land Cover from Aerial Imagery) + The `LandCover.ai `__ (Land Cover from Aerial Imagery) dataset is a dataset for automatic mapping of buildings, woodlands, water and roads from aerial images. This implementation is specifically for Version 1 of Landcover.ai. diff --git a/torchgeo/datasets/landsat.py b/torchgeo/datasets/landsat.py index 8fd785598b9..0f62f0201ad 100644 --- a/torchgeo/datasets/landsat.py +++ b/torchgeo/datasets/landsat.py @@ -14,7 +14,7 @@ class Landsat(RasterDataset, abc.ABC): """Abstract base class for all Landsat datasets. - `Landsat `_ is a joint NASA/USGS program, + `Landsat `__ is a joint NASA/USGS program, providing the longest continuous space-based record of Earth's land in existence. If you use this dataset in your research, please cite it using the following format: diff --git a/torchgeo/datasets/levircd.py b/torchgeo/datasets/levircd.py index c26959a7785..4b34fd93ed8 100644 --- a/torchgeo/datasets/levircd.py +++ b/torchgeo/datasets/levircd.py @@ -20,7 +20,7 @@ class LEVIRCDPlus(VisionDataset): """LEVIR-CD+ dataset. - The `LEVIR-CD+ `_ + The `LEVIR-CD+ `__ dataset is a dataset for building change detection. Dataset features: diff --git a/torchgeo/datasets/loveda.py b/torchgeo/datasets/loveda.py index e40661e975d..a628051f962 100644 --- a/torchgeo/datasets/loveda.py +++ b/torchgeo/datasets/loveda.py @@ -20,7 +20,7 @@ class LoveDA(VisionDataset): """LoveDA dataset. - The `LoveDA `_ datataset is a + The `LoveDA `__ datataset is a semantic segmentation dataset. Dataset features: diff --git a/torchgeo/datasets/nasa_marine_debris.py b/torchgeo/datasets/nasa_marine_debris.py index 8b6fea3fa58..11e7d37cf83 100644 --- a/torchgeo/datasets/nasa_marine_debris.py +++ b/torchgeo/datasets/nasa_marine_debris.py @@ -20,7 +20,7 @@ class NASAMarineDebris(VisionDataset): """NASA Marine Debris dataset. - The `NASA Marine Debris `_ + The `NASA Marine Debris `__ dataset is a dataset for detection of floating marine debris in satellite imagery. Dataset features: diff --git a/torchgeo/datasets/openbuildings.py b/torchgeo/datasets/openbuildings.py index b01c27afa29..7d8cd869ab1 100644 --- a/torchgeo/datasets/openbuildings.py +++ b/torchgeo/datasets/openbuildings.py @@ -27,7 +27,7 @@ class OpenBuildings(VectorDataset): r"""Open Buildings dataset. The `Open Buildings - `_ dataset + `__ dataset consists of computer generated building detections across the African continent. Dataset features: diff --git a/torchgeo/datasets/patternnet.py b/torchgeo/datasets/patternnet.py index aa0dcac3015..aaf03b30284 100644 --- a/torchgeo/datasets/patternnet.py +++ b/torchgeo/datasets/patternnet.py @@ -16,7 +16,7 @@ class PatternNet(VisionClassificationDataset): """PatternNet dataset. - The `PatternNet `_ + The `PatternNet `__ dataset is a dataset for remote sensing scene classification and image retrieval. Dataset features: diff --git a/torchgeo/datasets/potsdam.py b/torchgeo/datasets/potsdam.py index 192d839b9a2..9cbac90204a 100644 --- a/torchgeo/datasets/potsdam.py +++ b/torchgeo/datasets/potsdam.py @@ -26,7 +26,7 @@ class Potsdam2D(VisionDataset): """Potsdam 2D Semantic Segmentation dataset. - The `Potsdam `_ + The `Potsdam `__ dataset is a dataset for urban semantic segmentation used in the 2D Semantic Labeling Contest - Potsdam. This dataset uses the "4_Ortho_RGBIR.zip" and "5_Labels_all.zip" files to create the train/test sets used in the challenge. The dataset can be diff --git a/torchgeo/datasets/resisc45.py b/torchgeo/datasets/resisc45.py index 2e5e55e03df..141aa47623d 100644 --- a/torchgeo/datasets/resisc45.py +++ b/torchgeo/datasets/resisc45.py @@ -17,7 +17,7 @@ class RESISC45(VisionClassificationDataset): """RESISC45 dataset. - The `RESISC45 `_ + The `RESISC45 `__ dataset is a dataset for remote sensing image scene classification. Dataset features: diff --git a/torchgeo/datasets/sen12ms.py b/torchgeo/datasets/sen12ms.py index 44e47af86ad..74aaa55840d 100644 --- a/torchgeo/datasets/sen12ms.py +++ b/torchgeo/datasets/sen12ms.py @@ -19,7 +19,7 @@ class SEN12MS(VisionDataset): """SEN12MS dataset. - The `SEN12MS `_ dataset contains + The `SEN12MS `__ dataset contains 180,662 patch triplets of corresponding Sentinel-1 dual-pol SAR data, Sentinel-2 multi-spectral images, and MODIS-derived land cover maps. The patches are distributed across the land masses of the Earth and diff --git a/torchgeo/datasets/sentinel.py b/torchgeo/datasets/sentinel.py index 91633a75f6e..1f347bd1495 100644 --- a/torchgeo/datasets/sentinel.py +++ b/torchgeo/datasets/sentinel.py @@ -16,7 +16,7 @@ class Sentinel(RasterDataset): """Abstract base class for all Sentinel datasets. - `Sentinel `_ is a family of + `Sentinel `__ is a family of satellites launched by the `European Space Agency (ESA) `_ under the `Copernicus Programme `_. diff --git a/torchgeo/datasets/so2sat.py b/torchgeo/datasets/so2sat.py index cb02bc39ffb..30bac932796 100644 --- a/torchgeo/datasets/so2sat.py +++ b/torchgeo/datasets/so2sat.py @@ -18,7 +18,7 @@ class So2Sat(VisionDataset): """So2Sat dataset. - The `So2Sat `_ dataset consists of + The `So2Sat `__ dataset consists of corresponding synthetic aperture radar and multispectral optical image data acquired by the Sentinel-1 and Sentinel-2 remote sensing satellites, and a corresponding local climate zones (LCZ) label. The dataset is distributed over diff --git a/torchgeo/datasets/spacenet.py b/torchgeo/datasets/spacenet.py index 7746e3e09fd..df7226d2a80 100644 --- a/torchgeo/datasets/spacenet.py +++ b/torchgeo/datasets/spacenet.py @@ -36,7 +36,7 @@ class SpaceNet(VisionDataset, abc.ABC): """Abstract base class for the SpaceNet datasets. - The `SpaceNet `_ datasets are a set of + The `SpaceNet `__ datasets are a set of datasets that all together contain >11M building footprints and ~20,000 km of road labels mapped over high-resolution satellite imagery obtained from a variety of sensors such as Worldview-2, Worldview-3 and Dove. diff --git a/torchgeo/datasets/ucmerced.py b/torchgeo/datasets/ucmerced.py index d08a37548ec..39e98b520da 100644 --- a/torchgeo/datasets/ucmerced.py +++ b/torchgeo/datasets/ucmerced.py @@ -16,7 +16,7 @@ class UCMerced(VisionClassificationDataset): """UC Merced dataset. - The `UC Merced `_ + The `UC Merced `__ dataset is a land use classification dataset of 2.1k 256x256 1ft resolution RGB images of urban locations around the U.S. extracted from the USGS National Map Urban Area Imagery collection with 21 land use classes (100 images per class). diff --git a/torchgeo/datasets/vaihingen.py b/torchgeo/datasets/vaihingen.py index 1fdc1824e9e..64b5eff9bee 100644 --- a/torchgeo/datasets/vaihingen.py +++ b/torchgeo/datasets/vaihingen.py @@ -25,7 +25,7 @@ class Vaihingen2D(VisionDataset): """Vaihingen 2D Semantic Segmentation dataset. - The `Vaihingen `_ + The `Vaihingen `__ dataset is a dataset for urban semantic segmentation used in the 2D Semantic Labeling Contest - Vaihingen. This dataset uses the "ISPRS_semantic_labeling_Vaihingen.zip" and "ISPRS_semantic_labeling_Vaihingen_ground_truth_COMPLETE.zip" files to create the diff --git a/torchgeo/datasets/xview.py b/torchgeo/datasets/xview.py index 4cdbb54e8e3..9218acc24a2 100644 --- a/torchgeo/datasets/xview.py +++ b/torchgeo/datasets/xview.py @@ -20,7 +20,7 @@ class XView2(VisionDataset): """xView2 dataset. - The `xView2 `_ + The `xView2 `__ dataset is a dataset for building disaster change detection. This dataset object uses the "Challenge training set (~7.8 GB)" and "Challenge test set (~2.6 GB)" data from the xView2 website as the train and test splits. Note, the xView2 website diff --git a/torchgeo/datasets/zuericrop.py b/torchgeo/datasets/zuericrop.py index 77f6d1d4c5f..069b9f8f101 100644 --- a/torchgeo/datasets/zuericrop.py +++ b/torchgeo/datasets/zuericrop.py @@ -17,7 +17,7 @@ class ZueriCrop(VisionDataset): """ZueriCrop dataset. - The `ZueriCrop `_ + The `ZueriCrop `__ dataset is a dataset for time-series instance segmentation of crops. Dataset features: