| | --- |
| | license: mit |
| | dataset_info: |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': alarm_clock |
| | '1': backpack |
| | '2': banana |
| | '3': band_aid |
| | '4': bath_towel |
| | '5': beer_bottle |
| | '6': bench |
| | '7': bicycle |
| | '8': binder_closed |
| | '9': bottle_cap |
| | '10': bread_loaf |
| | '11': broom |
| | '12': bucket |
| | '13': can_opener |
| | '14': candle |
| | '15': cellphone |
| | '16': chair |
| | '17': cleaver |
| | '18': clothes_hamper |
| | '19': coffee_or_french_press |
| | '20': combination_lock |
| | '21': computer_mouse |
| | '22': desk_lamp |
| | '23': dishcloth |
| | '24': doormat |
| | '25': dress_shoe_men |
| | '26': drill |
| | '27': envelope |
| | '28': fan |
| | '29': frying_pan |
| | '30': gown |
| | '31': hair_dryer |
| | '32': hammer |
| | '33': helmet |
| | '34': jeans |
| | '35': keyboard |
| | '36': ladle |
| | '37': lampshade |
| | '38': laptop_open |
| | '39': lemon |
| | '40': letter_opener |
| | '41': lighter |
| | '42': lipstick |
| | '43': matchstick |
| | '44': microwave |
| | '45': mixing_or_salad_bowl |
| | '46': monitor |
| | '47': mug |
| | '48': nail_fastener |
| | '49': padlock |
| | '50': paintbrush |
| | '51': paper_towel |
| | '52': pen |
| | '53': pill_bottle |
| | '54': pillow |
| | '55': pitcher |
| | '56': plastic_bag |
| | '57': plate |
| | '58': plunger |
| | '59': pop_can |
| | '60': portable_heater |
| | '61': printer |
| | '62': remote_control |
| | '63': ruler |
| | '64': running_shoe |
| | '65': salt_shaker |
| | '66': sandal |
| | '67': screw |
| | '68': shopping_basket |
| | '69': shovel |
| | '70': skirt |
| | '71': sleeping_bag |
| | '72': soap_dispenser |
| | '73': sock |
| | '74': soup_bowl |
| | '75': spatula |
| | '76': speaker |
| | '77': still_camera |
| | '78': suit_jacket |
| | '79': sunglasses |
| | '80': sweater |
| | '81': t_shirt |
| | '82': tea_cup |
| | '83': teapot |
| | '84': teddy_bear |
| | '85': tie |
| | '86': toaster |
| | '87': toilet_paper_roll |
| | '88': trash_bin |
| | '89': tray |
| | '90': tv |
| | '91': umbrella |
| | '92': vacuum_cleaner |
| | '93': vase |
| | '94': wallet |
| | '95': watch |
| | '96': water_bottle |
| | '97': weight_exercise |
| | '98': weight_scale |
| | '99': wheel |
| | '100': whistle |
| | '101': winter_glove |
| | '102': wok |
| | splits: |
| | - name: train |
| | num_bytes: 4799942232.235 |
| | num_examples: 4835 |
| | download_size: 4828836662 |
| | dataset_size: 4799942232.235 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | --- |
| | |
