Features

• Accurate annotation– Average key point number for each object is more

than 100. (see counts histogram on website)• Multiple annotation methods– Labelmap, sketch, hierarchical decomposition,

geometry information

Dataset overviewhttp://www.imageparsing.com/FreeDataOutline.html

Subsets Image Number Segmentation Sketch

MapHierarchical

Decomposition Templates Geometry Multiple Views

LHI_Transportation_9 209 Y Y Y Y N Y

LHI_UIUC_Sport_Activity_10 100 Y Y Y Y Y N

LHI_UCLA_Aerial_Image_5 100 Y N N N N N

LHI_Manmade_Object_75 750 Y Y Y N N Y

LHI_Nature_Object_40 400 Y Y Y N N Y

LHI_Objects&Scene 180 Y Y Y Y N N

LHI_SceneSegmentation_18 264 Y N N N N N

Examples: Airplane (Frontal-side view)

Lotus Hill Transportation 9 http://www.imageparsing.com/subset1.html

Subset content

Content Hierarchical decomposition of close-up objects

Number of images

Publicly accessible 209Internal testing 4558

Object category

airplane, bicycle, bus, car, tractor, truck, sailboat, helicopter, motorcycle

Multiple views

Objects are groups into multiple views.

Related publications

Liang Lin et al. An Empirical Study of Object Category Recognition: Sequential Testing and Generalized Samples. (ICCV), 2007

Each node of the labeling tree includes ‘image patch’ and ‘sketch’.

Original images:

Annotations

LHI_UIUC Activities 10http://www.imageparsing.com/subset2.html

Original Image Label map Skeleton

Subset content

Content Typical images of 10 types of sport activities

Number of images

Publicly accessible 100 Internal testing 2512

Activity category

Badminton, bocce, croquet, hurdles, ice skate, polo, rock climbing, rowing, sailing, snowboarding

Other features

Geometry annotation,Human skeleton template

Related publications

L.-J. Li and L. Fei-Fei. What, where and who? Classifying event by scene and object recognition. ICCV 2007

LHI_UIUC Activities 10http://www.imageparsing.com/subset2.html

Dashed green line is the horizontal line, blue points are two vanishing points.

•Geometrical labeling

Human body gesture is labeled using a skeleton template (each key point on the skeleton has a unique id ).

•Human skeleton template

LHI_UCLA Aerial Image 5http://www.imageparsing.com/subset3.html

Subset contentContent Five categories of aerial imagesNumber of images Publicly accessible 100, Internal testing 2512Scene categories school, residential area, parking lots, marina, highway intersections

Original image Original image

Examples: Clock

LHI Manmade Object 75 & LHI Natural Object 40http://www.imageparsing.com/subset4.html http://us.imageparsing.com/subset5.html

Subset content

Content Hierarchical decomposition of close-up manmade objects and natural animals

Number of images

Manmade objects: Publicly accessible 750 Internal testing 9874Natural objects: Publicly accessible 400 Internal testing 6596

Object category

See webpage

Related publications

Liang Lin et al. An Empirical Study of Object Category Recognition: Sequential Testing and Generalized Samples. (ICCV), 2007

Each node of the labeling tree includes ‘image patch’ and ‘sketch’.

Original images:

Annotations

Lotus Hill Objects & Scenehttp://www.imageparsing.com/subset6.html

Subset content

Content Segmentation of common scenes & hierarchical decomposition of salient objects

Number of images

Publicly accessible 180Internal testing 1310

Scene category

Outdoor: highway, parking, streetIndoor: kitchen, office, meeting

Features Objects are putted in real scenes with different viewing angles and scaling

highway kitchen office meeting parking street

Original Image Label map Sketch

Hierarchical decomposition

LHI Scene Segmentationshttp://www.imageparsing.com/subset7.html

Subset content

Content Segmentation of outdoor and indoor images

Number of images Publicly accessible 264, Internal testing 6545

Scene categories Outdoor: street,, harbor, highway… Indoor: bathroom, bedroom, corridor (see webpage for details)

More data… coming soon…Text Attributed curve

Human faces

Human clothes

Surveillance

Cartoon