Image classes

[nicovandenhooff]

Here's the counts per image class... to discuss how we want to filter the data to reduce classes down from 67.

A couple options:

• If we cut off at a mandatory 200 images per class that actually works nicely and would mean we use the top 25 classes below (from kitchen to grocerystore).
• We could pick and choose classes that we think are the most interesting/useful

[('kitchen', 734),
 ('livingroom', 706),
 ('bedroom', 662),
 ('airport_inside', 608),
 ('bar', 604),
 ('subway', 539),
 ('casino', 515),
 ('restaurant', 513),
 ('warehouse', 506),
 ('inside_subway', 457),
 ('bakery', 405),
 ('pantry', 384),
 ('bookstore', 380),
 ('toystore', 347),
 ('corridor', 346),
 ('laundromat', 276),
 ('dining_room', 274),
 ('winecellar', 269),
 ('deli', 258),
 ('locker_room', 249),
 ('hairsalon', 239),
 ('meeting_room', 233),
 ('gym', 231),
 ('bowling', 213),
 ('grocerystore', 213),
 ('bathroom', 197),
 ('church_inside', 180),
 ('auditorium', 176),
 ('mall', 176),
 ('movietheater', 175),
 ('poolinside', 174),
 ('museum', 168),
 ('tv_studio', 166),
 ('jewelleryshop', 157),
 ('stairscase', 155),
 ('trainstation', 153),
 ('waitingroom', 151),
 ('nursery', 144),
 ('artstudio', 140),
 ('closet', 135),
 ('operating_room', 135),
 ('dentaloffice', 131),
 ('gameroom', 127),
 ('kindergarden', 127),
 ('laboratorywet', 125),
 ('cloister', 120),
 ('fastfood_restaurant', 116),
 ('shoeshop', 116),
 ('computerroom', 114),
 ('classroom', 113),
 ('children_room', 112),
 ('buffet', 111),
 ('videostore', 110),
 ('office', 109),
 ('studiomusic', 108),
 ('library', 107),
 ('restaurant_kitchen', 107),
 ('clothingstore', 106),
 ('concert_hall', 103),
 ('florist', 103),
 ('garage', 103),
 ('prisoncell', 103),
 ('inside_bus', 102),
 ('elevator', 101),
 ('greenhouse', 101),
 ('hospitalroom', 101),
 ('lobby', 101)]