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 overview
http://www.imageparsing.com/FreeDataOutline.html
Image
Number
Segmentation
Hierarchical
Decomposition
Templates
Geometry
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
Subsets
Sketch
Map
Multiple
Views
Lotus Hill Transportation 9
http://www.imageparsing.com/subset1.html
Subset content
Content
Hierarchical decomposition of
close-up objects
Number
of images
Publicly accessible 209
Internal testing 4558
Object
category
airplane, bicycle, bus, car, tractor,
truck, sailboat, helicopter,
motorcycle
Multiple
views
Objects are groups into multiple
views.
Related
publicatio
ns
Liang Lin et al. An Empirical Study of Object
Category Recognition: Sequential Testing
and Generalized Samples. (ICCV), 2007
Examples: Airplane (Frontal-side view)
Each node of the labeling tree
includes ‘image patch’ and ‘sketch’.
LHI_UIUC Activities 10
http://www.imageparsing.com/subset2.html
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
Original images:
Annotations
Original Image
Label map
Skeleton
LHI_UIUC Activities 10
http://www.imageparsing.com/subset2.html
•Geometrical labeling
Dashed green line is the
horizontal line, blue
points are two vanishing
points.
•Human skeleton template
Human body gesture is labeled using a
skeleton template (each key point on
the skeleton has a unique id ).
LHI_UCLA Aerial Image 5
http://www.imageparsing.com/subset3.html
Subset content
Content
Five categories of aerial images
Number of images
Publicly accessible 100, Internal testing 2512
Scene categories
school, residential area, parking lots, marina, highway intersections
Original image
Original image
LHI Manmade Object 75 & LHI Natural Object 40
http://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 9874
Natural objects:
Publicly accessible 400
Internal testing 6596
Object
category
See webpage
Related
publicatio
ns
Liang Lin et al. An Empirical Study of Object
Category Recognition: Sequential Testing
and Generalized Samples. (ICCV), 2007
Examples: Clock
Each node of the labeling tree
includes ‘image patch’ and ‘sketch’.
Lotus Hill Objects & Scene
http://www.imageparsing.com/subset6.html
Original images:
Subset content
Content
Segmentation of common
scenes & hierarchical
decomposition of
salient objects
Number of
images
Publicly accessible 180
Internal testing 1310
Scene
category
Outdoor: highway, parking,
street
Indoor: kitchen, office,
meeting
Features
Objects are putted in real
scenes with different
viewing angles and scaling
highway
kitchen
office
meeting
parking
Annotations
Original Image
Hierarchical decomposition
Label map
Sketch
street
LHI Scene Segmentations
http://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