Announcement

Introduction

The Vaihingen-DL dataset contains aerial images of Vaihingen village in Germany, associated with corresponding digital surface models (DSM) and two ground truth images – one for the base and the second – for the occlusion layer.

Base layer		Occlusion layer
class 0	Road	class 0	Void
class 1	Traffic island (asphalt)	class 1	Tree
class 2	Sidewalk	class 2	Car
class 3	House	class 3	Bridge
class 4	Grass
class 5	Agriculture
class 6	Water
class 7	Sealed
class 8	Traffic island (vegetation)
class 9	Beach
class 10	Railway

In ground truth images, the classes are marked with pixels with the above mentioned values (e.g. classes “Sidewalk” and “Car” have values 4).

Usage

The Vaihingen-DL dataset can be used to test image segmentation, feature extraction, classification approaches, etc especially for occluded areas. It has two layers of reference labels, thus the occluded areas of the scenes are also covered with ground truth labels. Two layers of labels could be used with the multi-layer CRF classification framework which is a part of the Direct Graphical Models library.

Copyright of the images in the Vaihingen-DL fully belongs to their owners. In no event, shall owners be liable for any incidents, or damages caused by the direct or indirect usage of the images. The dataset should be only used for non-commercial research and/or educational purposes.

Download

The Vaihingen-DL dataset can be downloaded from this link: Vaihingen-DL.rar (61MB). If you use the dataset in your publications, please cite it, using this BibTex file.

Introduction

The EMDS dataset contains environmental microorganism (EM) images downloaded from the Internet, associated with corresponding binary ground truth images. In total there are 21 classes of EMs. Each class is represented with 20 EM images with the corresponding binary ground truth bitmap. In ground truth images, EMs are marked with white (value: 255) and the background is marked with black (value: 0).

List of EMs:

class 1	Actinophrys	class 8	Paramecium	class 15	Keratella Quadrala
class 2	Arcella	class 9	Rotifera	class 16	Euglena
class 3	Aspidisca	class 10	Vorticella	class 17	Gymnodinium
class 4	Codosiga	class 11	Noctiluca	class 18	Gonyaulax
class 5	Colpoda	class 12	Ceratium	class 19	Phacus
class 6	Epistylis	class 13	Stentor	class 20	Stylongchia
class 7	Euglypha	class 14	Siprostomum	class 21	Synchaeta

Usage

The EMDS dataset can be used to test Image segmentation, feature extraction, classification approaches, etc. Copyright of the images in the dataset fully belongs to their owners. In no event, shall owners be liable for any incidents, or damages caused by the direct or indirect usage of the dataset. The dataset should be only used for non-commercial research and/or educational purposes.

Download

The EMDS dataset can be downloaded from this link: EMDS-4.rar (110MB). If you use the dataset in your publications, please cite it, using this BibTex file.