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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: domain |
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dtype: string |
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- name: category |
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dtype: string |
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- name: 'y' |
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dtype: |
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class_label: |
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names: |
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0: aircraft_carrier |
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1: airplane |
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2: alarm_clock |
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3: ambulance |
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4: angel |
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5: animal_migration |
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6: ant |
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7: anvil |
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8: apple |
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9: arm |
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10: asparagus |
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11: axe |
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12: backpack |
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13: banana |
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14: bandage |
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15: barn |
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16: baseball |
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17: baseball_bat |
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18: basket |
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19: basketball |
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20: bat |
|
21: bathtub |
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22: beach |
|
23: bear |
|
24: beard |
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25: bed |
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26: bee |
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27: belt |
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28: bench |
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29: bicycle |
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30: binoculars |
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31: bird |
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32: birthday_cake |
|
33: blackberry |
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34: blueberry |
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35: book |
|
36: boomerang |
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37: bottlecap |
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38: bowtie |
|
39: bracelet |
|
40: brain |
|
41: bread |
|
42: bridge |
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43: broccoli |
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44: broom |
|
45: bucket |
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46: bulldozer |
|
47: bus |
|
48: bush |
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49: butterfly |
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50: cactus |
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51: cake |
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52: calculator |
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53: calendar |
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54: camel |
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55: camera |
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56: camouflage |
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57: campfire |
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58: candle |
|
59: cannon |
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60: canoe |
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61: car |
|
62: carrot |
|
63: castle |
|
64: cat |
|
65: ceiling_fan |
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66: cello |
|
67: cell_phone |
|
68: chair |
|
69: chandelier |
|
70: church |
|
71: circle |
|
72: clarinet |
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73: clock |
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74: cloud |
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75: coffee_cup |
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76: compass |
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77: computer |
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78: cookie |
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79: cooler |
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80: couch |
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81: cow |
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82: crab |
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83: crayon |
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84: crocodile |
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85: crown |
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86: cruise_ship |
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87: cup |
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88: diamond |
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89: dishwasher |
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90: diving_board |
|
91: dog |
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92: dolphin |
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93: donut |
|
94: door |
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95: dragon |
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96: dresser |
|
97: drill |
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98: drums |
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99: duck |
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100: dumbbell |
|
101: ear |
|
102: elbow |
|
103: elephant |
|
104: envelope |
|
105: eraser |
|
106: eye |
|
107: eyeglasses |
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108: face |
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109: fan |
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110: feather |
|
111: fence |
|
112: finger |
|
113: fire_hydrant |
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114: fireplace |
|
115: firetruck |
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116: fish |
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117: flamingo |
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118: flashlight |
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119: flip_flops |
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120: floor_lamp |
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121: flower |
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122: flying_saucer |
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123: foot |
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124: fork |
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125: frog |
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126: frying_pan |
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127: garden |
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128: garden_hose |
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129: giraffe |
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130: goatee |
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131: golf_club |
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132: grapes |
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133: grass |
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134: guitar |
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135: hamburger |
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136: hammer |
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137: hand |
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138: harp |
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139: hat |
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140: headphones |
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141: hedgehog |
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142: helicopter |
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143: helmet |
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144: hexagon |
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145: hockey_puck |
|
146: hockey_stick |
|
147: horse |
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148: hospital |
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149: hot_air_balloon |
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150: hot_dog |
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151: hot_tub |
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152: hourglass |
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153: house |
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154: house_plant |
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155: hurricane |
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156: ice_cream |
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157: jacket |
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158: jail |
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159: kangaroo |
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160: key |
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161: keyboard |
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162: knee |
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163: knife |
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164: ladder |
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165: lantern |
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166: laptop |
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167: leaf |
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168: leg |
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169: light_bulb |
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170: lighter |
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171: lighthouse |
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172: lightning |
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173: line |
|
174: lion |
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175: lipstick |
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176: lobster |
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177: lollipop |
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178: mailbox |
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179: map |
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180: marker |
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181: matches |
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182: megaphone |
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183: mermaid |
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184: microphone |
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185: microwave |
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186: monkey |
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187: moon |
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188: mosquito |
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189: motorbike |
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190: mountain |
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191: mouse |
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192: moustache |
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193: mouth |
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194: mug |
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195: mushroom |
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196: nail |
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197: necklace |
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198: nose |
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199: ocean |
|
200: octagon |
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201: octopus |
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202: onion |
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203: oven |
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204: owl |
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205: paintbrush |
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206: paint_can |
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207: palm_tree |
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208: panda |
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209: pants |
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210: paper_clip |
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211: parachute |
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212: parrot |
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213: passport |
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214: peanut |
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215: pear |
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216: peas |
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217: pencil |
|
218: penguin |
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219: piano |
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220: pickup_truck |
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221: picture_frame |
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222: pig |
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223: pillow |
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224: pineapple |
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225: pizza |
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226: pliers |
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227: police_car |
|
228: pond |
|
229: pool |
|
230: popsicle |
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231: postcard |
|
232: potato |
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233: power_outlet |
|
234: purse |
|
235: rabbit |
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236: raccoon |
|
237: radio |
|
238: rain |
|
239: rainbow |
|
240: rake |
|
241: remote_control |
|
242: rhinoceros |
|
243: rifle |
|
244: river |
|
245: roller_coaster |
|
246: rollerskates |
|
247: sailboat |
|
248: sandwich |
|
249: saw |
|
250: saxophone |
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251: school_bus |
|
252: scissors |
|
253: scorpion |
|
254: screwdriver |
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255: sea_turtle |
|
256: see_saw |
|
257: shark |
|
258: sheep |
|
259: shoe |
|
260: shorts |
|
261: shovel |
|
262: sink |
|
263: skateboard |
|
264: skull |
|
265: skyscraper |
|
266: sleeping_bag |
|
267: smiley_face |
|
268: snail |
|
269: snake |
|
270: snorkel |
|
271: snowflake |
|
272: snowman |
|
273: soccer_ball |
|
274: sock |
|
275: speedboat |
|
276: spider |
|
277: spoon |
|
278: spreadsheet |
|
279: square |
|
280: squiggle |
|
281: squirrel |
|
282: stairs |
|
283: star |
|
284: steak |
|
285: stereo |
|
286: stethoscope |
|
287: stitches |
|
288: stop_sign |
|
289: stove |
|
290: strawberry |
|
291: streetlight |
|
292: string_bean |
|
293: submarine |
|
294: suitcase |
|
295: sun |
|
296: swan |
|
297: sweater |
|
298: swing_set |
|
299: sword |
|
300: syringe |
|
301: table |
|
302: teapot |
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303: teddy-bear |
|
304: telephone |
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305: television |
|
306: tennis_racquet |
|
307: tent |
|
308: The_Eiffel_Tower |
|
309: The_Great_Wall_of_China |
|
310: The_Mona_Lisa |
|
311: tiger |
|
312: toaster |
|
313: toe |
|
314: toilet |
|
315: tooth |
|
316: toothbrush |
|
317: toothpaste |
|
318: tornado |
|
319: tractor |
|
320: traffic_light |
|
321: train |
|
322: tree |
|
323: triangle |
|
324: trombone |
|
325: truck |
|
326: trumpet |
|
327: t-shirt |
|
328: umbrella |
|
329: underwear |
|
330: van |
|
331: vase |
|
332: violin |
|
333: washing_machine |
|
334: watermelon |
|
335: waterslide |
|
336: whale |
|
337: wheel |
|
338: windmill |
|
339: wine_bottle |
|
340: wine_glass |
|
341: wristwatch |
|
342: yoga |
|
343: zebra |
|
344: zigzag |
|
- name: image_path |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 1104174711.3600001 |
|
num_examples: 409832 |
|
- name: test |
|
num_bytes: 474182438.589 |
|
num_examples: 176743 |
|
download_size: 18524149098 |
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dataset_size: 1578357149.9490001 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: test |
|
path: data/test-* |
|
task_categories: |
|
- image-classification |
|
- zero-shot-image-classification |
|
task_ids: |
|
- multi-class-image-classification |
|
- multi-class-classification |
|
language: |
|
- en |
|
pretty_name: DomainNet |
|
license: other |
|
size_categories: |
|
- 100K<n<1M |
|
--- |
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Data downloaded from [WILDS](https://wilds.stanford.edu/) ([Download](https://wilds.stanford.edu/downloads), [paper](https://arxiv.org/abs/1812.01754), [project](https://ai.bu.edu/M3SDA/)). |
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This dataset contains some copyrighted material whose use has not been specifically authorized by the copyright owners. In an effort to advance scientific research, we make this material available for academic research. We believe this constitutes a fair use of any such copyrighted material as provided for in section 107 of the US Copyright Law. In accordance with Title 17 U.S.C. Section 107, the material on this site is distributed without profit for non-commercial research and educational purposes. For more information on fair use please click [here](https://www.law.cornell.edu/uscode/text/17/107). If you wish to use copyrighted material on this site or in our dataset for purposes of your own that go beyond non-commercial research and academic purposes, you must obtain permission directly from the copyright owner. (adapted from the [official DomainNet website](https://ai.bu.edu/M3SDA/#refs)) |