Features Accurate annotation – Average key point number for each object is more than 100. (see counts histogram on website) Multiple annotation methods.

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Presentation transcript:

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 Subsets Image Number Segmentation Sketch Map Hierarchical Decomposition TemplatesGeometry Multiple Views LHI_Transportation_9209YYYYNY LHI_UIUC_Sport_Activity_10100YYYYYN LHI_UCLA_Aerial_Image_5100YNNNNN LHI_Manmade_Object_75750YYYNNY LHI_Nature_Object_40400YYYNNY LHI_Objects&Scene180YYYYNN LHI_SceneSegmentation_18264YNNNNN

Examples: Airplane (Frontal-side view) Lotus Hill Transportation Subset content ContentHierarchical 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 Each node of the labeling tree includes ‘image patch’ and ‘sketch’.

Original images: Annotations LHI_UIUC Activities Original ImageLabel mapSkeleton Subset content ContentTypical 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 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 Subset content ContentFive categories of aerial images Number of imagesPublicly accessible 100, Internal testing 2512 Scene categories school, residential area, parking lots, marina, highway intersections Original image

Examples: Clock LHI Manmade Object 75 & LHI Natural Object Subset content ContentHierarchical 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 Each node of the labeling tree includes ‘image patch’ and ‘sketch’.

Original images: Annotations Lotus Hill Objects & Scene Subset content ContentSegmentation 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 FeaturesObjects are putted in real scenes with different viewing angles and scaling highwaykitchenofficemeetingparkingstreet Original ImageLabel mapSketch Hierarchical decomposition

LHI Scene Segmentations Subset content ContentSegmentation of outdoor and indoor images Number of imagesPublicly 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