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189
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189
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mask
imagewidth (px)
189
2.2k
point
listlengths
1
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152 values
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1 value
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1 value
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1 value
crossview
stringclasses
1 value
000000_obj0
[ [ 0.6850000023841858, 0.567669153213501 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000000_obj1
[ [ 0.5924999713897705, 0.5375939607620239 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000000_obj2
[ [ 0.36250001192092896, 0.5789473652839661 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000000_obj3
[ [ 0.6324999928474426, 0.9172932505607605 ] ]
podium
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000001_obj0
[ [ 0.8240343332290649, 0.5327731370925903 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000001_obj1
[ [ 0.5150214433670044, 0.07394958287477493 ] ]
ceiling
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000001_obj2
[ [ 0.7188841104507446, 0.5495798587799072 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000001_obj3
[ [ 0.9399141669273376, 0.8689075708389282 ] ]
base
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000002_obj0
[ [ 0.49000000953674316, 0.8610169291496277 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000002_obj1
[ [ 0.03750000149011612, 0.6508474349975586 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000002_obj2
[ [ 0.4950000047683716, 0.9186440706253052 ] ]
cross
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000002_obj3
[ [ 0.0925000011920929, 0.16271185874938965 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000003_obj0
[ [ 0.49735450744628906, 0.48510637879371643 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000003_obj1
[ [ 0.35449734330177307, 0.7276595830917358 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000003_obj2
[ [ 0.7354497313499451, 0.7234042286872864 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000003_obj3
[ [ 0.5343915224075317, 0.3957446813583374 ] ]
vault
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000004_obj0
[ [ 0.7979999780654907, 0.7134020328521729 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000004_obj1
[ [ 0.05999999865889549, 0.3835051655769348 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000004_obj2
[ [ 0.9399999976158142, 0.4577319622039795 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000004_obj3
[ [ 0.671999990940094, 0.7340205907821655 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000005_obj0
[ [ 0.5485714077949524, 0.9313304424285889 ] ]
stairs
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000005_obj1
[ [ 0.5028571486473083, 0.54935622215271 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000005_obj2
[ [ 0.6885714530944824, 0.9184549450874329 ] ]
railing
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000005_obj3
[ [ 0.5057142972946167, 0.7381974458694458 ] ]
altar
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000006_obj0
[ [ 0.19499999284744263, 0.6679999828338623 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000006_obj1
[ [ 0.9599999785423279, 0.41200000047683716 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000006_obj2
[ [ 0.04500000178813934, 0.492000013589859 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000006_obj3
[ [ 0.5149999856948853, 0.7400000095367432 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000007_obj0
[ [ 0.2083333283662796, 0.3733333349227905 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000007_obj1
[ [ 0.09166666865348816, 0.03333333507180214 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000007_obj2
[ [ 0.476666659116745, 0.7022222280502319 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000007_obj3
[ [ 0.476666659116745, 0.8911111354827881 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000008_obj0
[ [ 0.7774999737739563, 0.5633333325386047 ] ]
windowpane
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000008_obj1
[ [ 0.6449999809265137, 0.8666666746139526 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000008_obj2
[ [ 0.4350000023841858, 0.7133333086967468 ] ]
cross
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000008_obj3
[ [ 0.11749999970197678, 0.4300000071525574 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000009_obj0
[ [ 0.11749999970197678, 0.4461979866027832 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000009_obj1
[ [ 0.36250001192092896, 0.8034433126449585 ] ]
candelabrum
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000009_obj2
[ [ 0.08749999850988388, 0.8852223753929138 ] ]
pulpit
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000009_obj3
[ [ 0.4749999940395355, 0.8694404363632202 ] ]
altar
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000010_obj0
[ [ 0.11126373708248138, 0.5422680377960205 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000010_obj1
[ [ 0.8626373410224915, 0.5773195624351501 ] ]
left leg
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000010_obj2
[ [ 0.9079670310020447, 0.11546391993761063 ] ]
head
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000010_obj3
[ [ 0.5178571343421936, 0.39587628841400146 ] ]
head
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000011_obj0
[ [ 0.4699999988079071, 0.5680000185966492 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000011_obj1
[ [ 0.6840000152587891, 0.41600000858306885 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000011_obj2
[ [ 0.6880000233650208, 0.5333333611488342 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000011_obj3
[ [ 0.9340000152587891, 0.7120000123977661 ] ]
rock
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000012_obj0
[ [ 0.6399999856948853, 0.6700000166893005 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000012_obj1
[ [ 0.8916666507720947, 0.550000011920929 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000012_obj2
[ [ 0.5149999856948853, 0.47999998927116394 ] ]
aquarium
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000012_obj3
[ [ 0.49666666984558105, 0.33000001311302185 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000013_obj0
[ [ 0.40731707215309143, 0.15916955471038818 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000013_obj1
[ [ 0.5, 0.6401383876800537 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000013_obj2
[ [ 0.43170732259750366, 0.6366782188415527 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000013_obj3
[ [ 0.36097562313079834, 0.6262975931167603 ] ]
gate
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000014_obj0
[ [ 0.4765625, 0.48124998807907104 ] ]
head
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000014_obj1
[ [ 0.7906249761581421, 0.925000011920929 ] ]
left arm
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000014_obj2
[ [ 0.917187511920929, 0.5895833373069763 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000014_obj3
[ [ 0.7109375, 0.7458333373069763 ] ]
gaze
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000015_obj0
[ [ 0.6549999713897705, 0.5607476830482483 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000015_obj1
[ [ 0.5450000166893005, 0.9476635456085205 ] ]
floor
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000015_obj2
[ [ 0.5049999952316284, 0.2841121554374695 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000015_obj3
[ [ 0.7950000166893005, 0.9233644604682922 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000016_obj0
[ [ 0.35199999809265137, 0.08533333241939545 ] ]
rock
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000016_obj1
[ [ 0.6019999980926514, 0.527999997138977 ] ]
aquarium
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000016_obj2
[ [ 0.06199999898672104, 0.058666665107011795 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000016_obj3
[ [ 0.7440000176429749, 0.48533332347869873 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000017_obj0
[ [ 0.9137499928474426, 0.9005628228187561 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000017_obj1
[ [ 0.0625, 0.9005628228187561 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000017_obj2
[ [ 0.3987500071525574, 0.06941838562488556 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000017_obj3
[ [ 0.8587499856948853, 0.894934356212616 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000018_obj0
[ [ 0.5220000147819519, 0.203125 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000018_obj1
[ [ 0.6320000290870667, 0.934374988079071 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000018_obj2
[ [ 0.35600000619888306, 0.20937499403953552 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000018_obj3
[ [ 0.12999999523162842, 0.737500011920929 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000019_obj0
[ [ 0.5285714268684387, 0.37142857909202576 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000019_obj1
[ [ 0.5023809671401978, 0.5746031999588013 ] ]
aquarium
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000019_obj2
[ [ 0.4214285612106323, 0.5492063760757446 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000019_obj3
[ [ 0.4833333194255829, 0.09841269999742508 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000020_obj0
[ [ 0.7841796875, 0.6005873680114746 ] ]
jellyfish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000020_obj1
[ [ 0.5, 0.49926578998565674 ] ]
water
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000020_obj2
[ [ 0.5185546875, 0.5139500498771667 ] ]
jellyfish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000021_obj0
[ [ 0.07249999791383743, 0.8281053900718689 ] ]
keyboard
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000021_obj1
[ [ 0.2683333456516266, 0.9196988940238953 ] ]
table
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000021_obj2
[ [ 0.5166666507720947, 0.45922207832336426 ] ]
cabinet
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000021_obj3
[ [ 0.5199999809265137, 0.4504391551017761 ] ]
wall
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000022_obj0
[ [ 0.8095703125, 0.7730600237846375 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000022_obj1
[ [ 0.28515625, 0.8140556216239929 ] ]
plant
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000022_obj2
[ [ 0.9453125, 0.7540263533592224 ] ]
person
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000022_obj3
[ [ 0.2900390625, 0.8916544914245605 ] ]
pot
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000023_obj0
[ [ 0.51953125, 0.67578125 ] ]
penguin
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000023_obj1
[ [ 0.3359375, 0.4674479067325592 ] ]
penguin
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000023_obj2
[ [ 0.509765625, 0.11328125 ] ]
sky
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000023_obj3
[ [ 0.5, 0.4856770932674408 ] ]
rock
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000024_obj0
[ [ 0.474609375, 0.4244791567325592 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000024_obj1
[ [ 0.771484375, 0.7239583134651184 ] ]
alga
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000024_obj2
[ [ 0.02734375, 0.8697916865348816 ] ]
fish
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000024_obj3
[ [ 0.5, 0.5 ] ]
water
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
000025_obj0
[ [ 0.08961303532123566, 0.5881817936897278 ] ]
car
Did anything change between the two images? Identify the object that changed and answer briefly (e.g., ‘the orange box’, ‘the brown vase on the bookshelf’).
Output the changed region as a binary mask.
Point to the changed object as [(x,y)] in normalized coordinates.
no
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