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dataset-v2_00000_00.jpg
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dataset-v2_00000_01.jpg
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dataset-v2_00000_02.jpg
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dataset-v2_00000_03.jpg
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dataset-v2_00000_05.jpg
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dataset-v2_00001_10.jpg
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[ { "id": 125, "category": "allay", "category_id": 45, "bbox": [ 183, 436, 215, 134 ], "segmentation": { "counts": "lUQ42]f02N1O2N1O2N1O2N2N1O2N1N3N2N1O2N1O2N1O2N2N1O2N1N3N2N1O2N1O2N1O2N2N1O2N1O2M3N1O2N1O2N1O2N1O1O2N1O2M2O1O2N101O01O01O010O00010O010O00010O0010O000...
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dataset-v2_00003_03.jpg
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[ { "id": 128, "category": "player", "category_id": 88, "bbox": [ 1164, 144, 38, 108 ], "segmentation": { "counts": "Yebi01Yf0500O1KJoYO8ce0JdZO;Ze0HaZO<]e0G`ZO<]e0<N3ImNnZOV1dd0kNc[OZ1[d0iNe[OV1Yd0mNd[OU1Yd0oNd[OS1Zd0POc[OR1[d0b0N2e\\OlMYb0V2g]OkMVb0X2i]OiMWb0V2j...
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[ { "id": 137, "category": "enderman", "category_id": 34, "bbox": [ 315, 151, 33, 67 ], "segmentation": { "counts": "fdm63oe0N_ZO2DNhe00eZO2B3Vf08DEZZO>ce0B\\ZOb0be0\\O^ZOh0^e0XObZOj0\\e0VOfZO9O1Ze0IcZO86KVe0`0jZO]OZe0a03\\O`ZOg0ce0DZZO2^e0CeZO913We0EfZO:5OTe0GgZO...
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[ { "id": 144, "category": "creeper", "category_id": 7, "bbox": [ 1063, 613, 70, 107 ], "segmentation": { "counts": "nR\\g04Tf09O102QZOBfe05ZZON0Nee05[ZOL00de05\\ZOJ0Nge09WZOHPf01QZO6ne0JSZO6Zd04g\\OGoN5nc0`0P]O^ORONlc0j0f\\OH^c09V\\O3ic0[1\\\\OcMSc0_2`\\OnM^c0c2O...
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[ { "id": 147, "category": "slime", "category_id": 23, "bbox": [ 988, 380, 292, 340 ], "segmentation": { "counts": "fXge05Wf04L5K4L5K4M4K4L5K4L5K4L5K4M4K4L5K4L5K4L5K4L5L3L4L5K4L5K4L5K4M4K4L5K4L5K4L5K4L5L3L5K4L5L3O2N1O2N1O2N1O2N1O2N1O2N1O2N1O2M2O2N1O2N1O2N1O2N1O2N1...
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[ { "id": 150, "category": "armadillo", "category_id": 46, "bbox": [ 491, 698, 13, 13 ], "segmentation": { "counts": "cmi:4[f01N2N2N101O11O0O2O000N4MSnPa0", "size": [ 720, 1280 ] }, "area": 108, "iscrowd": 0, "distance":...
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[ { "id": 158, "category": "sheep", "category_id": 64, "bbox": [ 1085, 293, 45, 37 ], "segmentation": { "counts": "RVkg03Xf05L4N202N000N21O00000001O0SZOAie0d0O0XZO\\O03]e0l0000000000N2L5N1L41O00BXZO4ie0G\\ZO8ne00000000oYOE03fe0d0O0000000000M3M4M2M3M3LaUY3", ...
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dataset-v2_00003_09_clean.jpg
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[ { "id": 165, "category": "armadillo", "category_id": 46, "bbox": [ 0, 336, 26, 20 ], "segmentation": { "counts": "c:a0oe0O0100O100O100001O01OO100O100O2O0O2O2N1N2O1N3N1N2OT\\ak0", "size": [ 720, 1280 ] }, "area": 366, "iscr...
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dataset-v2_00003_10_clean.jpg
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[ { "id": 184, "category": "creeper", "category_id": 7, "bbox": [ 796, 603, 5, 5 ], "segmentation": { "counts": "kX`a02^f02OO010NdV`:", "size": [ 720, 1280 ] }, "area": 15, "iscrowd": 0, "distance": 128.23, "placed":...
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[ { "id": 188, "category": "zombie", "category_id": 31, "bbox": [ 514, 546, 11, 8 ], "segmentation": { "counts": "XnY;1Zf00iYO1Vf00jYO0Vf06O01O0N3M201O01ZZb`0", "size": [ 720, 1280 ] }, "area": 43, "iscrowd": 0, "distanc...
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[ { "id": 199, "category": "bat", "category_id": 47, "bbox": [ 538, 361, 8, 11 ], "segmentation": { "counts": "adj;3Zf0NgYO2Xf02011KgYO3Xf003N2OhgS`0", "size": [ 720, 1280 ] }, "area": 30, "iscrowd": 0, "distance": 45.33...
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dataset-v2_00006_00_clean.jpg
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[ { "id": 278, "category": "skeleton", "category_id": 22, "bbox": [ 1104, 543, 23, 38 ], "segmentation": { "counts": "diXh03]f00]O4bZOM[e06aZOHI3ee0a0[ZO\\Ofe0Q1GO0_OdZO0Ze0LeZOD001`0Ze0NeZOB1a0Ye0`03I70001@bZOFJ3ee06aZOGI3he05_ZOHI3ie0OcZOND3Yf0110000O1MeYO0Xg[3"...
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[ { "id": 279, "category": "cow", "category_id": 52, "bbox": [ 469, 618, 5, 7 ], "segmentation": { "counts": "n[Z:2]f02MMhYO2[f0NN0gYO0Pjfa0", "size": [ 720, 1280 ] }, "area": 13, "iscrowd": 0, "distance": 100.32, "p...
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dataset-v2_00006_02_clean.jpg
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[ { "id": 290, "category": "wither_skeleton", "category_id": 29, "bbox": [ 173, 145, 13, 10 ], "segmentation": { "counts": "Vii31[S20hlM0Xf02fYOOXf050N3OeYOM10Xf00gYO2Zf0NfYO1[f0OeYO0^f0000YRQh0", "size": [ 720, 1280 ] }, "area"...
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dataset-v2_00006_03.jpg
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[ { "id": 295, "category": "slime", "category_id": 23, "bbox": [ 674, 628, 79, 92 ], "segmentation": { "counts": "^bj>R1]e01000000O1000000O1kNnNl\\OR1Sc0TOh\\Ol0Vc0[Oe\\Oe0Zc0@a\\Oa0^c0E]\\O;bc0JZ\\O6dc01W\\OOhc0]1O1O1N2O1O1O1N21O001O00001O001O001O00001O001O00001O...
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dataset-v2_00006_04_clean.jpg
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[ { "id": 304, "category": "zombified_piglin", "category_id": 44, "bbox": [ 626, 544, 18, 20 ], "segmentation": { "counts": "Wfh=140Uf02hYO0Wf06N2M3N1O200OJRZOKle05VZOJje04YZOJie04XZOLhe04YZOLhe03XZOMhe03WZOKle059M2Nidn=", "size": [ 720, 1280...
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dataset-v2_00006_05.jpg
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dataset-v2_00006_05_clean.jpg
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[ { "id": 305, "category": "zombie", "category_id": 31, "bbox": [ 1025, 653, 34, 21 ], "segmentation": { "counts": "nZaf05\\f0O0001O0000001MKjYO4Vf0300lYOLle05SZOKne0;01O0O10002N00001O01O00103L000L410O0000004Lhgj4", "size": [ 720, 1280 ...
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dataset-v2_00006_06.jpg
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dataset-v2_00006_06_clean.jpg
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[ { "id": 307, "category": "allay", "category_id": 45, "bbox": [ 588, 634, 18, 29 ], "segmentation": { "counts": "PRn<7Xf02lYOJje0?O2TZO^O01ce0d05M4M2N3N1N2N3N4MOMgYO0Xf02200NeYO0Zf01fYO0`oi>", "size": [ 720, 1280 ] }, "area": 1...
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dataset-v2_00006_07.jpg
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[ { "id": 310, "category": "stray", "category_id": 24, "bbox": [ 1103, 372, 112, 148 ], "segmentation": { "counts": "QoWh03[f02fYOMTf09M1O00010O1TZOEde0>YZOEb0L]d0g0b[O\\O\\d0e0b[O^O?Mhb0h0g\\O^O=Mlb0f0c\\O@>Nnb0b0a\\OC=ORc0=_\\OH;OB^O42Qc0f0o\\OM65G[OSc0d0m\\O05>...
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[ { "id": 315, "category": "bat", "category_id": 47, "bbox": [ 410, 625, 61, 52 ], "segmentation": { "counts": "mlP93^f03JKiYO:Rf0201MO40M2010O3NO3NOEEaZO<_e0H_ZO7\\e0C`ZO925]e0NbZO2^e00aZOM1D^e0l0310M3O41K4L010O010K50O0010O0102NO01ZOcZO2be0N^ZO3fe0IZZO4me0GSZO9Sf...
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[ { "id": 331, "category": "bee", "category_id": 33, "bbox": [ 1188, 20, 92, 92 ], "segmentation": { "counts": "n[Sj01_f02M01000O01000O010O00NfYO0Yf01hYOOWf00iYO1Vf00jYO0Vf00jYOOWf00iYO1Vf00jYO0Vf00jYOOWf00iYO1Vf00jYOOWf01iYOOUf01iYOO11Vf0OjYO000Vf01iYO01OVf01iYO0...
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19,374
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dataset-v2_00006_10_clean.jpg
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[ { "id": 336, "category": "cow", "category_id": 52, "bbox": [ 441, 532, 15, 18 ], "segmentation": { "counts": "Vcf922OXf08M4K4M0010N3OO01N2M2IlYO2Vf0LkYO4Yf0N2OojRb0", "size": [ 720, 1280 ] }, "area": 165, "iscrowd": 0, ...
End of preview. Expand in Data Studio

Minecraft Mobs

Pictures from the dataset with their true boxes, from 16 kinds of place

49,861 pictures of every Minecraft Java 1.21.11 mob in every biome, in caves and structures, under water, in the Nether and in the End. Every box and mask comes from the game itself, so the labels are exact: no hand labelling.

At a glance

  • 49,861 pictures, 1280×720, vanilla graphics, field of view 70
  • 177,312 labelled mobs in 88 classes (every mob + the player), plus 18,206 ignore regions (mobs too hidden, dark or small to label)
  • A box and a pixel mask per mob
  • 64 biomes, 38 kinds of structure, all three dimensions
  • Day, night, dusk and dawn; clear, rain and thunder; three brightness settings
  • For 92 % of pictures, a clean plate: the same shot without the mobs

Splits

split pictures
train 39,158
validation 5,120
test 5,583

Split by place: the world is cut into 512-block tiles and each tile goes to one split, so validation and test show places no training picture shows. Test takes the tiles furthest from the rest.

Loading

from datasets import load_dataset

ds = load_dataset("OlleOltorp/minecraft-mobs", split="train")
picture = ds[0]["image"]        # PIL image
mobs = ds[0]["objects"]         # one dict per mob: category, bbox, segmentation, ...

Boxes are COCO style [x, y, width, height] in pixels; masks are COCO run-length encoding. Objects with iscrowd = 1 are ignore regions, not mobs to find.

Places

area pictures share
land 25,178 50 %
caves 6,338 13 %
structures 6,231 12 %
nether 4,922 10 %
ocean 4,869 10 %
end 2,323 5 %
All 64 biomes
biome pictures share
plains 1,969 4 %
forest 1,690 3 %
nether wastes 1,598 3 %
dripstone caves 1,544 3 %
river 1,538 3 %
lush caves 1,353 3 %
savanna 1,231 2 %
soul sand valley 1,211 2 %
desert 1,203 2 %
deep dark 1,190 2 %
end highlands 1,190 2 %
taiga 1,162 2 %
end midlands 1,147 2 %
crimson forest 1,134 2 %
snowy plains 1,120 2 %
ocean 1,051 2 %
warped forest 992 2 %
lukewarm ocean 932 2 %
snowy taiga 897 2 %
dark forest 888 2 %
basalt deltas 867 2 %
old growth birch forest 836 2 %
deep ocean 836 2 %
swamp 825 2 %
jungle 807 2 %
beach 790 2 %
deep cold ocean 790 2 %
cold ocean 787 2 %
grove 781 2 %
meadow 717 1 %
birch forest 704 1 %
frozen ocean 695 1 %
warm ocean 669 1 %
snowy slopes 657 1 %
badlands 645 1 %
deep lukewarm ocean 640 1 %
sparse jungle 636 1 %
old growth pine taiga 616 1 %
eroded badlands 585 1 %
wooded badlands 583 1 %
flower forest 582 1 %
sunflower plains 581 1 %
mangrove swamp 580 1 %
stony shore 578 1 %
bamboo jungle 570 1 %
frozen river 560 1 %
old growth spruce taiga 546 1 %
savanna plateau 529 1 %
cherry grove 518 1 %
deep frozen ocean 516 1 %
windswept forest 511 1 %
windswept hills 510 1 %
pale garden 465 1 %
windswept savanna 461 1 %
jagged peaks 439 1 %
snowy beach 421 1 %
frozen peaks 420 1 %
mushroom fields 372 1 %
ice spikes 354 1 %
the end 216 0 %
end barrens 181 0 %
stony peaks 174 0 %
windswept gravelly hills 136 0 %
small end islands 135 0 %
All 38 kinds of structure
structure pictures
trial chambers 500
end city 428
fortress 400
bastion remnant 350
pillager outpost 305
monument 304
ancient city 300
dungeon 300
mansion 245
stronghold 222
mineshaft 194
village plains 183
swamp hut 183
desert pyramid 180
shipwreck 178
village taiga 124
village snowy 121
village desert 120
igloo 119
village savanna 118
end gateway 118
jungle pyramid 117
ocean ruin warm 117
ocean ruin cold 115
shipwreck beached 97
trail ruins 95
desert well 94
nether fossil 80
mineshaft mesa 62
ruined portal 62
ruined portal desert 60
ruined portal mountain 60
ruined portal swamp 60
ruined portal ocean 59
ruined portal jungle 52
ruined portal nether 50
geode 30
fossil 29

Camera

Camera height above the ground or floor below it, in blocks:

height pictures share
1 to 2 15,877 32 %
2 to 5 8,025 16 %
5 to 10 5,183 10 %
10 to 20 5,636 11 %
20 to 50 7,569 15 %
50+ 7,571 15 %

Pitch, in degrees (positive looks down):

pitch pictures share
-30 to -10 (up) 1,631 3 %
-10 to 10 (level) 17,221 35 %
10 to 30 15,421 31 %
30 to 60 9,284 19 %
60+ (steeply down) 6,304 13 %
  • Aerial views (high above the ground, looking down): 6,030
  • Under water: 2,006
  • Indoors (caves and structures): 13,288

Time, weather, brightness

time pictures share
day 24,964 50 %
night 17,872 36 %
dusk or dawn 7,025 14 %
weather pictures share
clear 38,646 78 %
rain 8,177 16 %
thunder 3,038 6 %
brightness slider pictures share
Moody (0) 9,898 20 %
default (0.5) 24,960 50 %
Bright (1) 15,003 30 %

Mobs

On average 3.6 mobs per picture. Some pictures have no mob to find, so a model also learns when there is nothing there.

mobs in the picture pictures share
0 6,025 12 %
1 10,872 22 %
2-3 14,074 28 %
4-7 12,778 26 %
8-15 5,512 11 %
16+ 600 1 %

Distance from the camera, in blocks:

distance mobs share
under 4 6,874 4 %
4 to 8 21,873 12 %
8 to 16 34,958 20 %
16 to 32 36,970 21 %
32 to 64 36,982 21 %
64 to 128 25,420 14 %
128+ 14,235 8 %

Box height in the picture, in pixels:

box height mobs share
under 8 15,944 9 %
8 to 16 31,100 18 %
16 to 32 38,211 22 %
32 to 64 35,423 20 %
64 to 128 29,685 17 %
128 to 256 18,538 10 %
256+ 8,411 5 %

Share of the mob that is seen (the rest hidden behind blocks or other mobs):

seen mobs share
under 10 % 6,753 4 %
10-25 % 7,315 4 %
25-50 % 11,592 7 %
50-75 % 17,505 10 %
75-99 % 58,362 33 %
all 75,785 43 %
  • Poses: 45 % standing, 40 % mid-walk, 15 % mid-run
  • 69 % are where the mob spawns in the game; the rest are placed elsewhere so every mob is seen in many places
  • Random looks, as the game draws them: colour and skin variants, sizes, armour, held items, and:
look mobs
baby 9,268
aggressive (arms up, charging) 7,487
red hurt flash 7,164
saddle 1,687
angry 1,479
sitting 1,282
sheared 1,012
charging 697
on fire 662
charged creeper 510
bee with nectar 357
All 88 classes: labels and in how many biomes
group class labels biomes
Hostile blaze 2,690 64
Hostile bogged 1,291 64
Hostile breeze 1,229 64
Hostile camel husk 581 63
Hostile cave spider 862 60
Hostile creaking 1,242 64
Hostile creeper 10,070 63
Hostile drowned 3,178 61
Hostile endermite 409 56
Hostile evoker 1,068 64
Hostile ghast 2,461 64
Hostile hoglin 709 58
Hostile husk 1,516 63
Hostile magma cube 1,577 63
Hostile parched 1,147 63
Hostile phantom 1,222 64
Hostile piglin brute 1,197 64
Hostile pillager 1,461 63
Hostile ravager 531 63
Hostile shulker 1,226 63
Hostile silverfish 708 61
Hostile skeleton 11,699 64
Hostile slime 5,993 62
Hostile stray 1,477 64
Hostile vex 1,538 64
Hostile vindicator 1,205 62
Hostile warden 796 59
Hostile witch 1,665 64
Hostile wither skeleton 1,303 63
Hostile zoglin 432 61
Hostile zombie 10,487 62
Hostile zombie villager 1,583 63
Neutral bee 1,219 64
Neutral enderman 12,054 64
Neutral goat 1,875 62
Neutral iron golem 844 64
Neutral llama 1,182 64
Neutral panda 493 58
Neutral piglin 2,150 63
Neutral polar bear 1,193 61
Neutral spider 3,286 62
Neutral trader llama 951 63
Neutral wolf 1,477 63
Neutral zombified piglin 2,318 62
Passive allay 1,441 63
Passive armadillo 1,129 62
Passive bat 14,755 63
Passive camel 1,092 62
Passive cat 990 62
Passive chicken 3,691 62
Passive copper golem 916 63
Passive cow 4,093 61
Passive donkey 562 61
Passive fox 1,256 60
Passive frog 1,114 62
Passive happy ghast 1,609 64
Passive horse 800 61
Passive mooshroom 1,501 64
Passive mule 409 62
Passive ocelot 876 63
Passive parrot 2,549 63
Passive pig 4,023 63
Passive rabbit 2,811 62
Passive sheep 5,673 59
Passive skeleton horse 437 60
Passive sniffer 449 59
Passive snow golem 1,000 64
Passive strider 5,503 61
Passive turtle 575 59
Passive villager 1,855 63
Passive wandering trader 964 64
Passive zombie horse 470 59
Water axolotl 1,567 63
Water cod 496 23
Water dolphin 268 29
Water elder guardian 216 36
Water glow squid 2,756 51
Water guardian 680 30
Water nautilus 957 45
Water pufferfish 331 26
Water salmon 467 27
Water squid 739 37
Water tadpole 124 18
Water tropical fish 347 24
Water zombie nautilus 301 35
Bosses ender dragon 223 56
Bosses wither 411 61
Player player 1,291 64

Fields

field what
image the picture
clean_plate the same shot without the mobs (when has_clean_plate)
split, area, dimension, biome, structure where
time, day_time, weather, brightness when and how it looks
camera_x/y/z, camera_height, yaw, pitch, fov, aerial, underwater camera
objects one entry per mob (below)

Per mob: category, bbox, segmentation, area, iscrowd, distance, visibility, truncated (share cut off by the picture edge), box_full (box including hidden parts), motion, features (looks), native, brightness, contrast, too_dark.

How it was made

Ten game windows taking pictures at once, each with its true boxes

A Fabric mod draws each picture twice: once normally and once with every mob in its own flat colour, which gives each mob's exact pixels. Places come from a survey of a real world's biomes and structures; mobs are summoned with random looks and frozen mid-pose. Mobs too hidden, dark or small to see are kept as ignore regions. Full method, checks and settings: minecraft-mob-dataset.

Citation

@misc{oltorp2026minecraftmobs,
  author = {Olle Oltorp},
  title = {Minecraft Mobs: an object detection dataset with exact labels},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/OlleOltorp/minecraft-mobs}
}

Licence

CC BY-NC 4.0 for the pictures and labels. Minecraft is a trademark of Mojang; not affiliated with or endorsed by Mojang or Microsoft.

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