Improvements to dataset tables (#649)

* Improvements to dataset tables

* mask -> masks

docs/api/datasets.rst

@@ -164,8 +164,8 @@ Kenya Crop Type
 
 .. autoclass:: CV4AKenyaCropType
 
-Deep Globe Land Cover Challenge
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Deep Globe Land Cover
+^^^^^^^^^^^^^^^^^^^^^
 
 .. autoclass:: DeepGlobeLandCover
 

docs/api/geo_datasets.csv

@@ -1,17 +1,18 @@
 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
+`Aboveground Woody Biomass`_,Masks,"Landsat, LiDAR","40,000x40,000",30
+`Aster Global DEM`_,Masks,Aster,"3,601x3,601",30
+`Canadian Building Footprints`_,Geometries,Bing Imagery,-,-
+`Chesapeake Land Cover`_,"Imagery, Masks",NAIP,-,1
+`Global Mangrove Distribution`_,Masks,"Remote Sensing, In Situ Measurements",-,3
+`Cropland Data Layer`_,Masks,Aerial,-,30
+`EDDMapS`_,Points,Citizen Scientists,-,-
+`EnviroAtlas`_,"Imagery, Masks","NAIP, NLCD, OpenStreetMap",-,1
+`Esri2020`_,Masks,Sentinel-2,-,10
+`EU-DEM`_,Masks,"Aster, SRTM, Russian Topomaps",-,25
+`GBIF`_,Points,Citizen Scientists,-,-
+`GlobBiomass`_,Masks,Landsat,"45,000x45,000",100
+`iNaturalist`_,Points,Citizen Scientists,-,-
+`Landsat`_,Imagery,Landsat,-,30
+`NAIP`_,Imagery,Aerial,"6,100x7,600",1
+`Open Buildings`_,Geometries,"Maxar, CNES/Airbus",-,-
+`Sentinel`_,Imagery,Sentinel,"10,000x10,000",10

docs/api/non_geo_datasets.csv

@@ -1,34 +1,34 @@
 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
+`Benin Cashew Plantations`_,S,Airbus Pléiades,70,6,"1,122x1,186",10,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
-`Deep Globe Land Cover Challenge`_,S,DigitalGlobe +Vivid,803,7,"2,448x2,448",0.5,RGB
-`DFC2022`_,S,Aerial,,15,"2,000x2,000",0.5,RGB
+`Deep Globe Land Cover`_,S,DigitalGlobe +Vivid,803,7,"2,448x2,448",0.5,RGB
+`DFC2022`_,S,Aerial,"3,981",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`_,S,Aerial,360,,"5,000x5,000",0.3,RGB
+`Inria Aerial Image Labeling`_,S,Aerial,360,2,"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
+`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
+`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"
+`USAVars`_,S,NAIP Aerial,100K,-,-,4,"RGB, NIR"
 `Vaihingen`_,S,Aerial,33,6,"1,281--3,816",0.09,RGB
+`NWPU VHR-10`_,I,"Google Earth, Vaihingen",800,10,"358--1,728",0.08--2,RGB
 `xView2`_,CD,Maxar,"3,732",4,"1,024x1,024",0.8,RGB
 `ZueriCrop`_,"I, T",Sentinel-2,116K,48,24x24,10,MSI