Sample Products

Unlimited access to all the available sample datasets. 

ProductDescriptionDownload
OR2A 50 cm 4-Band Bundle | Munich, GermanyImagery, Multispectral, WorldViewDownload
OR2A 30 cm 4-Band Pansharpened | Munich, GermanyImagery, Multispectral, WorldViewDownload
HD OR2A 15 cm 4-Band | Munich, GermanyImagery, HD, Multispectral, WorldViewDownload
99 cm 4-Band | Munich, GermanyImagery, Multispectral, SatellogicDownload
DSM, 50 cm | Fukushima, JapanElevation, AW3DDownload
DTM, 50 cm | Fukushima, JapanElevation, AW3DDownload
DSM, 2.5 m | Chiba, JapanElevation, AW3DDownload
DTM, 2.5 m | Chiba, JapanElevation, AW3DDownload
DSM, 5 m | Chiba, JapanElevation, AW3DDownload
DTM, 5 m | Chiba, JapanElevation, AW3DDownload
Vricon 3D Surface Model, 50 cmElevation, VriconDownload
Vricon DSM, 50 cmElevation, VriconDownload
Vricon DSM-10, medium resolutionElevation, VriconDownload
Vricon DTMElevation, VriconDownload
Vricon True OrthoElevation, VriconDownload
Ecopia GFX, 12 Core Features | Barcelona, SpainMapping, EcopiaDownload
Ecopia GFX, Building Footprints | Varese, ItalyMapping, EcopiaDownload
Resolution Comparison Package4-Band Pansharpened in 15, 30, 40, 50 & 99 cmDownload
Product Type PackageOR2A, Ortho, 2A, & 1B all in 30 cmDownload
Spectral Bands PackageNatural Colour, 4- Band, 8-Band & SWIRDownload
OR2A 40 cm 4-Band Pansharpened | Munich, GermanyImagery, Multispectral, WorldViewDownload
Ortho 30 cm 4-Band Pansharpened | Munich, GermanyImagery, Multispectral, WorldViewDownload
OR2A 50 cm 4-Band Pansharpened | Munich Airport, GermanyImagery, Multispectral, WorldViewDownload
2A 30 cm 4-Band Pansharpened | Munich, GermanyImagery, Multispectral, WorldViewDownload
1B 30 cm 4-Band | Munich, GermanyImagery, Multispectral, WorldViewDownload
OR2A 50 cm 8-Band | Munich, GermanyImagery, Multispectral, WorldViewDownload
OR2A 50 cm Natural colour | Munich, GermanyImagery, WorldViewDownload
OR2A 50 cm 4-Band Pansharpened | Munich, GermanyImagery, Multispectral, WorldViewDownload
SWIR 3.7 m | Munich, GermanyImagery, Multispectral, WorldView, SWIRDownload
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Architecture of ResNet34-UNet model

UNet architecture for semantic segmentation with ResNet34 as encoder or feature extraction part. ResNet34 is used as an encoder or feature extractor in the contracting path and the corresponding symmetric expanding path predicts the dense segmentation output.

Architecture of VGG16-UNet model

UNet architecture for semantic segmentation with VGG16 as the encoder or feature extractor. VGG16 is used as an encoder or feature extractor in the contracting path and the corresponding symmetric expanding path predicts the dense segmentation output.

Architecture of ResNet34-FCN model

In this model, ResNet34 is used for feature extraction and the FCN operation remains as is. The feature of ResNet architecture is exploited where just like VGG, as the number of filters double, the feature map size gets halved. This gives a similarity to VGG and ResNet architecture while supporting deeper architecture and addressing the issue of vanishing gradients while also being faster. The fully connected layer at the output of ResNet34 is not used and instead converted to fully convolutional layer by means of 1×1 convolution.

Architecture of VGG16-FCN model

In this model, VGG16 is used for feature extraction which also performs the function of an encoder. The fully connected layer of the VGG16 is not used and instead converted to fully convolutional layer by means of 1×1 convolution.

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