imagenet_label_idx
stringlengths 1
5
| label
stringlengths 3
175
| image
imagewidth (px) 37
2.31k
|
---|---|---|
6355 | display_window, shop_window, shopwindow, show_window | |
14407 | snowdrift | |
15592 | flibbertigibbet, foolish_woman | |
3377 | wisent, aurochs, Bison_bonasus | |
9226 | pillbox, toque, turban | |
15939 | king, queen, world-beater | |
8087 | lamp | |
7445 | hammer | |
18523 | coelogyne | |
10174 | segmental_arch | |
16 | contact_sport | |
6571 | earmuff | |
15839 | hotelier, hotelkeeper, hotel_manager, hotelman, hosteller | |
8737 | national_monument | |
13545 | process_cheese, processed_cheese | |
6355 | display_window, shop_window, shopwindow, show_window | |
17342 | zamia | |
14522 | Biloxi | |
5902 | control_room | |
4373 | artillery, heavy_weapon, gun, ordnance | |
13863 | sherry | |
15866 | inamorato | |
8298 | love_seat, loveseat, tete-a-tete, vis-a-vis | |
15474 | embryologist | |
1704 | ctenophore, comb_jelly | |
12633 | lemon_curd, lemon_cheese | |
1925 | black-crowned_night_heron, Nycticorax_nycticorax | |
18157 | western_mugwort, white_sage, cudweed, prairie_sage, Artemisia_ludoviciana, Artemisia_gnaphalodes | |
10342 | shrapnel | |
12709 | toast | |
13599 | sweetening, sweetener | |
12661 | bread, breadstuff, staff_of_life | |
5535 | chanter, melody_pipe | |
3688 | coati, coati-mondi, coati-mundi, coon_cat, Nasua_narica | |
11222 | theater, theatre, house | |
13485 | deviled_egg, stuffed_egg | |
6049 | crock, earthenware_jar | |
19128 | scrub_oak | |
11874 | window_envelope | |
1445 | cuckoo | |
14163 | magnetic_pole | |
13949 | gimlet | |
6960 | floor, flooring | |
924 | arboreal_salamander, Aneides_lugubris | |
5086 | broadcloth | |
8950 | overshoe | |
8523 | messuage | |
2128 | killer_whale, killer, orca, grampus, sea_wolf, Orcinus_orca | |
19146 | cork_oak, Quercus_suber | |
9901 | Roman_arch, semicircular_arch | |
5411 | case_knife | |
715 | hill_myna, Indian_grackle, grackle, Gracula_religiosa | |
6572 | earphone, earpiece, headphone, phone | |
10896 | stroboscope, strobe, strobe_light | |
1847 | blue_crab, Callinectes_sapidus | |
153 | handball | |
13806 | blush_wine, pink_wine, rose, rose_wine | |
5411 | case_knife | |
2350 | poodle, poodle_dog | |
1574 | whistling_swan, Cygnus_columbianus_columbianus | |
6698 | Erlenmeyer_flask | |
14706 | South_American_Indian | |
8483 | measuring_instrument, measuring_system, measuring_device | |
4671 | battlement, crenelation, crenellation | |
9621 | rabbit_ears | |
5057 | brick | |
6392 | dolmen, cromlech, portal_tomb | |
16563 | pudge | |
17938 | four_o'clock | |
6678 | entertainment_center | |
15045 | bookbinder | |
8820 | nude, nude_painting | |
10475 | slipknot | |
19119 | bear_oak, Quercus_ilicifolia | |
13685 | macaroni_and_cheese | |
15571 | finder | |
1622 | Tasmanian_devil, ursine_dasyure, Sarcophilus_hariisi | |
15110 | captive | |
3232 | buckskin | |
13931 | cocktail | |
15822 | homegirl | |
12609 | suet_pudding | |
3613 | siamang, Hylobates_syndactylus, Symphalangus_syndactylus | |
18110 | bleeding_heart, lyreflower, lyre-flower, Dicentra_spectabilis | |
13747 | taco | |
16553 | protozoologist | |
10765 | steak_knife | |
13368 | marinade | |
2300 | Old_English_sheepdog, bobtail | |
607 | New_World_flycatcher, flycatcher, tyrant_flycatcher, tyrant_bird | |
3219 | cow_pony | |
7799 | igloo, iglu | |
14082 | oolong | |
12399 | eggdrop_soup | |
2350 | poodle, poodle_dog | |
13086 | pineapple, ananas | |
16164 | ministrant | |
1947 | European_gallinule, Porphyrio_porphyrio | |
9216 | pier_table | |
9273 | pistol, handgun, side_arm, shooting_iron |
End of preview. Expand
in Data Studio
Introduction
This is a tiny subset of ImageNet (imagenet-w21-wds). For each label, there are 20 sampled images. Those labels that have less than 20 images are skipped.
Citation
Please cite the paper if you use this dataset.
@article{imagenet15russakovsky,
Author = {Olga Russakovsky and Jia Deng and Hao Su and Jonathan Krause and Sanjeev Satheesh and Sean Ma and Zhiheng Huang and Andrej Karpathy and Aditya Khosla and Michael Bernstein and Alexander C. Berg and Li Fei-Fei},
Title = { {ImageNet Large Scale Visual Recognition Challenge} },
Year = {2015},
journal = {International Journal of Computer Vision (IJCV)},
doi = {10.1007/s11263-015-0816-y},
volume={115},
number={3},
pages={211-252}
}
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