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Indoor Scene Recognition

We use the 67-category MIT indoor scene dataset available here: MIT Indoor Scene Dataset. The following table lists the classification performance of our approach using deformable parts-based model (DPM), GIST-color (GC) features and Spatial Pyramid features (SP) on each of the 67 scene categories. The last column of the table lists the classification performance obtained from combining DPM, GC and SP features (All). All results are in %. The scene categories are listed in the decreasing order of their DPM performance. Click on any scene category name to view the corresponding model and top ranked images for that category.


Classes DPM SP GC All
Average 30.4 34.4 29.7 43.1
Cloister 90 90 80 95
Florist 79 63 63 89
Buffet 75 70 50 80
Pantry 75 40 40 75
Meeting_room 75 32 45 77
Classroom 67 56 39 61
Concert_hall 65 55 60 80
Greenhouse 65 75 55 75
Church_inside 63 68 74 79
Inside_subway 62 43 10 52
Nursery 60 45 50 65
Corridor 57 52 48 67
Garage 56 50 28 56
Elevator 52 62 67 86
Bathroom 50 39 33 56
Laundromat 45 23 18 50
Bookstore 45 25 20 35
Movietheater 45 50 25 55
Closet 44 72 50 72
Inside_bus 43 57 48 57
Hairsalon 43 29 29 52
Gameroom 40 20 10 35
Prisoncell 40 35 35 50
Subway 38 38 38 62
Bowling 35 55 45 55
Stairscase 35 35 35 55
Trainstation 35 60 55 70
Clothingstore 33 33 11 33
Casino 32 47 32 47
Studiomusic 32 58 42 63
Lobby 30 25 30 35
Kitchen 29 24 43 52
Dining_room 28 17 50 56
Mall 25 15 20 20
Dentaloffice 24 48 33 48
Warehouse 24 14 24 29
Computerroom 22 22 28 44
Gym 22 22 11 33
Livingroom 20 15 10 20
Grocerystore 19 48 43 48
Locker_room 19 38 5 38
Videostore 18 14 18 23
Shoeshop 16 21 11 16
Kindergarden 15 20 25 40
Winecellar 14 38 43 38
Museum 13 22 4 17
Fastfood_restaurant 12 12 18 24
Auditorium 11 44 22 33
Bar 11 39 11 33
Bakery 11 26 37 26
Office 10 10 10 10
Toystore 9 14 14 18
Children_room 6 11 17 11
Tv_studio 6 44 33 50
Deli 5 0 16 5
Operating_room 5 21 26 26
Airport_inside 5 10 5 10
Artstudio 5 15 10 15
Hospitalroom 5 25 15 20
Restaurant 5 25 0 10
Bedroom 5 14 0 10
Waitingroom 5 14 14 33
Jewelleryshop 5 5 5 5
Laboratorywet 5 14 9 14
Restaurant_kitchen 4 22 17 13
Library 0 45 35 35
Poolinside 0 15 55 45