Xenova/quickdraw
Dataset Card for Quick, Draw! This is a processed version of Google's Quick, Draw dataset to be compatible with the latest versions of 🤗 Datasets that support .parquet files. NOTE: this dataset only contains the "preprocessed_bitmaps" subset of the original dataset.
11538
1---2annotations_creators:3- machine-generated4language_creators:5- crowdsourced6language:7- en8license:9- cc-by-4.010multilinguality:11- monolingual12size_categories:13- 10M<n<100M14source_datasets:15- original16task_categories:17- image-classification18task_ids:19- multi-class-image-classification20paperswithcode_id: quick-draw-dataset21pretty_name: Quick, Draw!22dataset_info:23 features:24 - name: image25 dtype: image26 - name: label27 dtype:28 class_label:29 names:30 '0': aircraft carrier31 '1': airplane32 '2': alarm clock33 '3': ambulance34 '4': angel35 '5': animal migration36 '6': ant37 '7': anvil38 '8': apple39 '9': arm40 '10': asparagus41 '11': axe42 '12': backpack43 '13': banana44 '14': bandage45 '15': barn46 '16': baseball bat47 '17': baseball48 '18': basket49 '19': basketball50 '20': bat51 '21': bathtub52 '22': beach53 '23': bear54 '24': beard55 '25': bed56 '26': bee57 '27': belt58 '28': bench59 '29': bicycle60 '30': binoculars61 '31': bird62 '32': birthday cake63 '33': blackberry64 '34': blueberry65 '35': book66 '36': boomerang67 '37': bottlecap68 '38': bowtie69 '39': bracelet70 '40': brain71 '41': bread72 '42': bridge73 '43': broccoli74 '44': broom75 '45': bucket76 '46': bulldozer77 '47': bus78 '48': bush79 '49': butterfly80 '50': cactus81 '51': cake82 '52': calculator83 '53': calendar84 '54': camel85 '55': camera86 '56': camouflage87 '57': campfire88 '58': candle89 '59': cannon90 '60': canoe91 '61': car92 '62': carrot93 '63': castle94 '64': cat95 '65': ceiling fan96 '66': cell phone97 '67': cello98 '68': chair99 '69': chandelier100 '70': church101 '71': circle102 '72': clarinet103 '73': clock104 '74': cloud105 '75': coffee cup106 '76': compass107 '77': computer108 '78': cookie109 '79': cooler110 '80': couch111 '81': cow112 '82': crab113 '83': crayon114 '84': crocodile115 '85': crown116 '86': cruise ship117 '87': cup118 '88': diamond119 '89': dishwasher120 '90': diving board121 '91': dog122 '92': dolphin123 '93': donut124 '94': door125 '95': dragon126 '96': dresser127 '97': drill128 '98': drums129 '99': duck130 '100': dumbbell131 '101': ear132 '102': elbow133 '103': elephant134 '104': envelope135 '105': eraser136 '106': eye137 '107': eyeglasses138 '108': face139 '109': fan140 '110': feather141 '111': fence142 '112': finger143 '113': fire hydrant144 '114': fireplace145 '115': firetruck146 '116': fish147 '117': flamingo148 '118': flashlight149 '119': flip flops150 '120': floor lamp151 '121': flower152 '122': flying saucer153 '123': foot154 '124': fork155 '125': frog156 '126': frying pan157 '127': garden hose158 '128': garden159 '129': giraffe160 '130': goatee161 '131': golf club162 '132': grapes163 '133': grass164 '134': guitar165 '135': hamburger166 '136': hammer167 '137': hand168 '138': harp169 '139': hat170 '140': headphones171 '141': hedgehog172 '142': helicopter173 '143': helmet174 '144': hexagon175 '145': hockey puck176 '146': hockey stick177 '147': horse178 '148': hospital179 '149': hot air balloon180 '150': hot dog181 '151': hot tub182 '152': hourglass183 '153': house plant184 '154': house185 '155': hurricane186 '156': ice cream187 '157': jacket188 '158': jail189 '159': kangaroo190 '160': key191 '161': keyboard192 '162': knee193 '163': knife194 '164': ladder195 '165': lantern196 '166': laptop197 '167': leaf198 '168': leg199 '169': light bulb200 '170': lighter201 '171': lighthouse202 '172': lightning203 '173': line204 '174': lion205 '175': lipstick206 '176': lobster207 '177': lollipop208 '178': mailbox209 '179': map210 '180': marker211 '181': matches212 '182': megaphone213 '183': mermaid214 '184': microphone215 '185': microwave216 '186': monkey217 '187': moon218 '188': mosquito219 '189': motorbike220 '190': mountain221 '191': mouse222 '192': moustache223 '193': mouth224 '194': mug225 '195': mushroom226 '196': nail227 '197': necklace228 '198': nose229 '199': ocean230 '200': octagon231 '201': octopus232 '202': onion233 '203': oven234 '204': owl235 '205': paint can236 '206': paintbrush237 '207': palm tree238 '208': panda239 '209': pants240 '210': paper clip241 '211': parachute242 '212': parrot243 '213': passport244 '214': peanut245 '215': pear246 '216': peas247 '217': pencil248 '218': penguin249 '219': piano250 '220': pickup truck251 '221': picture frame252 '222': pig253 '223': pillow254 '224': pineapple255 '225': pizza256 '226': pliers257 '227': police car258 '228': pond259 '229': pool260 '230': popsicle261 '231': postcard262 '232': potato263 '233': power outlet264 '234': purse265 '235': rabbit266 '236': raccoon267 '237': radio268 '238': rain269 '239': rainbow270 '240': rake271 '241': remote control272 '242': rhinoceros273 '243': rifle274 '244': river275 '245': roller coaster276 '246': rollerskates277 '247': sailboat278 '248': sandwich279 '249': saw280 '250': saxophone281 '251': school bus282 '252': scissors283 '253': scorpion284 '254': screwdriver285 '255': sea turtle286 '256': see saw287 '257': shark288 '258': sheep289 '259': shoe290 '260': shorts291 '261': shovel292 '262': sink293 '263': skateboard294 '264': skull295 '265': skyscraper296 '266': sleeping bag297 '267': smiley face298 '268': snail299 '269': snake300 '270': snorkel301 '271': snowflake302 '272': snowman303 '273': soccer ball304 '274': sock305 '275': speedboat306 '276': spider307 '277': spoon308 '278': spreadsheet309 '279': square310 '280': squiggle311 '281': squirrel312 '282': stairs313 '283': star314 '284': steak315 '285': stereo316 '286': stethoscope317 '287': stitches318 '288': stop sign319 '289': stove320 '290': strawberry321 '291': streetlight322 '292': string bean323 '293': submarine324 '294': suitcase325 '295': sun326 '296': swan327 '297': sweater328 '298': swing set329 '299': sword330 '300': syringe331 '301': t-shirt332 '302': table333 '303': teapot334 '304': teddy-bear335 '305': telephone336 '306': television337 '307': tennis racquet338 '308': tent339 '309': The Eiffel Tower340 '310': The Great Wall of China341 '311': The Mona Lisa342 '312': tiger343 '313': toaster344 '314': toe345 '315': toilet346 '316': tooth347 '317': toothbrush348 '318': toothpaste349 '319': tornado350 '320': tractor351 '321': traffic light352 '322': train353 '323': tree354 '324': triangle355 '325': trombone356 '326': truck357 '327': trumpet358 '328': umbrella359 '329': underwear360 '330': van361 '331': vase362 '332': violin363 '333': washing machine364 '334': watermelon365 '335': waterslide366 '336': whale367 '337': wheel368 '338': windmill369 '339': wine bottle370 '340': wine glass371 '341': wristwatch372 '342': yoga373 '343': zebra374 '344': zigzag375 splits:376 - name: train377 num_bytes: 19761125464.75378 num_examples: 50426266379 download_size: 18927763475380 dataset_size: 19761125464.75381---382 383# Dataset Card for Quick, Draw!384 385This is a processed version of Google's [Quick, Draw](https://huggingface.co/datasets/quickdraw/) dataset to be compatible with the latest versions of 🤗 Datasets that support .parquet files. NOTE: this dataset only contains the "preprocessed_bitmaps" subset of the original dataset.386