์ฝ˜ํ…์ธ ๋กœ ๊ฑด๋„ˆ๋›ฐ๊ธฐ

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ๋Š” Facebook AI Research(FAIR)์—์„œ ๊ฐœ๋ฐœ ๋ฐ ๊ณต๊ฐœํ•œ ๋Œ€๊ทœ๋ชจ์˜ ์„ธ๋ถ„ํ™”๋œ ์–ดํœ˜ ์ˆ˜์ค€์˜ ์ฃผ์„ ๋ฐ์ดํ„ฐ ์„ธํŠธ์ž…๋‹ˆ๋‹ค. ์ฃผ๋กœ ์ปดํ“จํ„ฐ ๋น„์ „ ๋ถ„์•ผ์˜ ๋ฐœ์ „์„ ์ด‰์ง„ํ•˜๊ธฐ ์œ„ํ•ด ๋Œ€๊ทœ๋ชจ ์–ดํœ˜๋กœ ๊ฐ์ฒด ๊ฐ์ง€ ๋ฐ ์ธ์Šคํ„ด์Šค ๋ถ„ํ• ์„ ์œ„ํ•œ ์—ฐ๊ตฌ ๋ฒค์น˜๋งˆํฌ๋กœ ์‚ฌ์šฉ๋˜๋ฉฐ, ์ปดํ“จํ„ฐ ๋น„์ „ ๋ถ„์•ผ์˜ ๋ฐœ์ „์„ ๋ชฉํ‘œ๋กœ ํ•ฉ๋‹ˆ๋‹ค.



Watch: YOLO LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ๋ฅผ ์‚ฌ์šฉํ•œ ์›”๋“œ ํŠธ๋ ˆ์ด๋‹ ์›Œํฌํ”Œ๋กœ

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ ์˜ˆ์‹œ ์ด๋ฏธ์ง€

์ฃผ์š” ๊ธฐ๋Šฅ

  • LVIS์—๋Š” ๊ฐ์ฒด ๊ฐ์ง€, ๋ถ„ํ•  ๋ฐ ์บก์…˜ ์ž‘์—…์„ ์œ„ํ•œ 160๋งŒ ๊ฐœ์˜ ์ด๋ฏธ์ง€์™€ 2๋ฐฑ๋งŒ ๊ฐœ์˜ ์ธ์Šคํ„ด์Šค ์ฃผ์„์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ด ๋ฐ์ดํ„ฐ ์„ธํŠธ๋Š” ์ž๋™์ฐจ, ์ž์ „๊ฑฐ, ๋™๋ฌผ๊ณผ ๊ฐ™์€ ์ผ๋ฐ˜์ ์ธ ๊ฐ์ฒด์™€ ์šฐ์‚ฐ, ํ•ธ๋“œ๋ฐฑ, ์Šคํฌ์ธ  ์žฅ๋น„์™€ ๊ฐ™์€ ๋ณด๋‹ค ๊ตฌ์ฒด์ ์ธ ์นดํ…Œ๊ณ ๋ฆฌ๋ฅผ ํฌํ•จํ•œ 1203๊ฐœ์˜ ๊ฐ์ฒด ์นดํ…Œ๊ณ ๋ฆฌ๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ฃผ์„์—๋Š” ๊ฐœ์ฒด ๊ฒฝ๊ณ„ ์ƒ์ž, ๋ถ„ํ•  ๋งˆ์Šคํฌ ๋ฐ ๊ฐ ์ด๋ฏธ์ง€์— ๋Œ€ํ•œ ์บก์…˜์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.
  • LVIS๋Š” ๊ฐ์ฒด ๊ฐ์ง€๋ฅผ ์œ„ํ•œ ํ‰๊ท  ํ‰๊ท  ์ •๋ฐ€๋„ (mAP), ์„ธ๋ถ„ํ™” ์ž‘์—…์„ ์œ„ํ•œ ํ‰๊ท  ํ‰๊ท  ํšŒ์ˆ˜์œจ (mAR) ๋“ฑ ํ‘œ์ค€ํ™”๋œ ํ‰๊ฐ€ ์ง€ํ‘œ๋ฅผ ์ œ๊ณตํ•˜๋ฏ€๋กœ ๋ชจ๋ธ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•˜๋Š” ๋ฐ ์ ํ•ฉํ•ฉ๋‹ˆ๋‹ค.
  • LVIS๋Š” COCO ๋ฐ์ดํ„ฐ ์„ธํŠธ์™€ ์ •ํ™•ํžˆ ๋™์ผํ•œ ์ด๋ฏธ์ง€๋ฅผ ์‚ฌ์šฉํ•˜์ง€๋งŒ ๋ถ„ํ• ๊ณผ ์ฃผ์„์ด ๋‹ค๋ฆ…๋‹ˆ๋‹ค.

๋ฐ์ดํ„ฐ ์„ธํŠธ ๊ตฌ์กฐ

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ๋Š” ์„ธ ๊ฐœ์˜ ํ•˜์œ„ ์ง‘ํ•ฉ์œผ๋กœ ๋‚˜๋‰ฉ๋‹ˆ๋‹ค:

  1. ํ›ˆ๋ จ: ์ด ํ•˜์œ„ ์ง‘ํ•ฉ์—๋Š” ๊ฐ์ฒด ๊ฐ์ง€, ์„ธ๋ถ„ํ™” ๋ฐ ์บก์…˜ ๋ชจ๋ธ ํ•™์Šต์„ ์œ„ํ•œ 10๋งŒ ๊ฐœ์˜ ์ด๋ฏธ์ง€๊ฐ€ ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
  2. Val: ์ด ํ•˜์œ„ ์ง‘ํ•ฉ์—๋Š” ๋ชจ๋ธ ํ•™์Šต ์ค‘ ์œ ํšจ์„ฑ ๊ฒ€์‚ฌ ๋ชฉ์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” 20,000๊ฐœ์˜ ์ด๋ฏธ์ง€๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.
  3. ๋ฏธ๋‹ˆ๋ฒŒ: ์ด ํ•˜์œ„ ์ง‘ํ•ฉ์€ ๋ชจ๋ธ ํ•™์Šต ์ค‘ ์œ ํšจ์„ฑ ๊ฒ€์‚ฌ ๋ชฉ์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” 5k ์ด๋ฏธ์ง€๊ฐ€ ์žˆ๋Š” COCO val2017 ์„ธํŠธ์™€ ์™„์ „ํžˆ ๋™์ผํ•ฉ๋‹ˆ๋‹ค.
  4. ํ…Œ์ŠคํŠธ: ์ด ํ•˜์œ„ ์ง‘ํ•ฉ์€ ํ•™์Šต๋œ ๋ชจ๋ธ์„ ํ…Œ์ŠคํŠธํ•˜๊ณ  ๋ฒค์น˜๋งˆํ‚นํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋Š” 2๋งŒ ๊ฐœ์˜ ์ด๋ฏธ์ง€๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค. ์ด ํ•˜์œ„ ์ง‘ํ•ฉ์— ๋Œ€ํ•œ ์‹ค์ธก ์ž๋ฃŒ ์ฃผ์„์€ ๊ณต๊ฐœ๋˜์ง€ ์•Š์œผ๋ฉฐ, ๊ฒฐ๊ณผ๋Š” ์„ฑ๋Šฅ ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด LVIS ํ‰๊ฐ€ ์„œ๋ฒ„์— ์ œ์ถœ๋ฉ๋‹ˆ๋‹ค.

์• ํ”Œ๋ฆฌ์ผ€์ด์…˜

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ๋Š” ๊ฐ์ฒด ๊ฐ์ง€(์˜ˆ: YOLO, Faster R-CNN, SSD), ์ธ์Šคํ„ด์Šค ๋ถ„ํ• (์˜ˆ: Mask R-CNN)์—์„œ ๋”ฅ ๋Ÿฌ๋‹ ๋ชจ๋ธ์„ ํ›ˆ๋ จํ•˜๊ณ  ํ‰๊ฐ€ํ•˜๋Š” ๋ฐ ๋„๋ฆฌ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ ์„ธํŠธ์˜ ๋‹ค์–‘ํ•œ ๊ฐ์ฒด ์นดํ…Œ๊ณ ๋ฆฌ, ์ˆ˜๋งŽ์€ ์ฃผ์„์ด ๋‹ฌ๋ฆฐ ์ด๋ฏธ์ง€, ํ‘œ์ค€ํ™”๋œ ํ‰๊ฐ€ ๋ฉ”ํŠธ๋ฆญ์€ ์ปดํ“จํ„ฐ ๋น„์ „ ์—ฐ๊ตฌ์ž์™€ ์‹ค๋ฌด์ž์—๊ฒŒ ํ•„์ˆ˜์ ์ธ ๋ฆฌ์†Œ์Šค์ž…๋‹ˆ๋‹ค.

๋ฐ์ดํ„ฐ ์„ธํŠธ YAML

๋ฐ์ดํ„ฐ ์„ธํŠธ ๊ตฌ์„ฑ์„ ์ •์˜ํ•˜๋Š” ๋ฐ๋Š” YAML(๋˜ ๋‹ค๋ฅธ ๋งˆํฌ์—… ์–ธ์–ด) ํŒŒ์ผ์ด ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์—๋Š” ๋ฐ์ดํ„ฐ ์„ธํŠธ์˜ ๊ฒฝ๋กœ, ํด๋ž˜์Šค ๋ฐ ๊ธฐํƒ€ ๊ด€๋ จ ์ •๋ณด์— ๋Œ€ํ•œ ์ •๋ณด๊ฐ€ ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์˜ ๊ฒฝ์šฐ, ๋ฐ์ดํ„ฐ ์„ธํŠธ์˜ lvis.yaml ํŒŒ์ผ์€ ๋‹ค์Œ ์œ„์น˜์—์„œ ์œ ์ง€๋ฉ๋‹ˆ๋‹ค. https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/datasets/lvis.yaml.

ultralytics/cfg/datasets/lvis.yaml

# Ultralytics YOLO ๐Ÿš€, AGPL-3.0 license
# LVIS dataset http://www.lvisdataset.org by Facebook AI Research.
# Documentation: https://docs.ultralytics.com/datasets/detect/lvis/
# Example usage: yolo train data=lvis.yaml
# parent
# โ”œโ”€โ”€ ultralytics
# โ””โ”€โ”€ datasets
#     โ””โ”€โ”€ lvis  โ† downloads here (20.1 GB)

# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
path: ../datasets/lvis # dataset root dir
train: train.txt # train images (relative to 'path') 100170 images
val: val.txt # val images (relative to 'path') 19809 images
minival: minival.txt # minval images (relative to 'path') 5000 images

names:
  0: aerosol can/spray can
  1: air conditioner
  2: airplane/aeroplane
  3: alarm clock
  4: alcohol/alcoholic beverage
  5: alligator/gator
  6: almond
  7: ambulance
  8: amplifier
  9: anklet/ankle bracelet
  10: antenna/aerial/transmitting aerial
  11: apple
  12: applesauce
  13: apricot
  14: apron
  15: aquarium/fish tank
  16: arctic/arctic type of shoe/galosh/golosh/rubber/rubber type of shoe/gumshoe
  17: armband
  18: armchair
  19: armoire
  20: armor/armour
  21: artichoke
  22: trash can/garbage can/wastebin/dustbin/trash barrel/trash bin
  23: ashtray
  24: asparagus
  25: atomizer/atomiser/spray/sprayer/nebulizer/nebuliser
  26: avocado
  27: award/accolade
  28: awning
  29: ax/axe
  30: baboon
  31: baby buggy/baby carriage/perambulator/pram/stroller
  32: basketball backboard
  33: backpack/knapsack/packsack/rucksack/haversack
  34: handbag/purse/pocketbook
  35: suitcase/baggage/luggage
  36: bagel/beigel
  37: bagpipe
  38: baguet/baguette
  39: bait/lure
  40: ball
  41: ballet skirt/tutu
  42: balloon
  43: bamboo
  44: banana
  45: Band Aid
  46: bandage
  47: bandanna/bandana
  48: banjo
  49: banner/streamer
  50: barbell
  51: barge
  52: barrel/cask
  53: barrette
  54: barrow/garden cart/lawn cart/wheelbarrow
  55: baseball base
  56: baseball
  57: baseball bat
  58: baseball cap/jockey cap/golf cap
  59: baseball glove/baseball mitt
  60: basket/handbasket
  61: basketball
  62: bass horn/sousaphone/tuba
  63: bat/bat animal
  64: bath mat
  65: bath towel
  66: bathrobe
  67: bathtub/bathing tub
  68: batter/batter food
  69: battery
  70: beachball
  71: bead
  72: bean curd/tofu
  73: beanbag
  74: beanie/beany
  75: bear
  76: bed
  77: bedpan
  78: bedspread/bedcover/bed covering/counterpane/spread
  79: cow
  80: beef/beef food/boeuf/boeuf food
  81: beeper/pager
  82: beer bottle
  83: beer can
  84: beetle
  85: bell
  86: bell pepper/capsicum
  87: belt
  88: belt buckle
  89: bench
  90: beret
  91: bib
  92: Bible
  93: bicycle/bike/bike bicycle
  94: visor/vizor
  95: billboard
  96: binder/ring-binder
  97: binoculars/field glasses/opera glasses
  98: bird
  99: birdfeeder
  100: birdbath
  101: birdcage
  102: birdhouse
  103: birthday cake
  104: birthday card
  105: pirate flag
  106: black sheep
  107: blackberry
  108: blackboard/chalkboard
  109: blanket
  110: blazer/sport jacket/sport coat/sports jacket/sports coat
  111: blender/liquidizer/liquidiser
  112: blimp
  113: blinker/flasher
  114: blouse
  115: blueberry
  116: gameboard
  117: boat/ship/ship boat
  118: bob/bobber/bobfloat
  119: bobbin/spool/reel
  120: bobby pin/hairgrip
  121: boiled egg/coddled egg
  122: bolo tie/bolo/bola tie/bola
  123: deadbolt
  124: bolt
  125: bonnet
  126: book
  127: bookcase
  128: booklet/brochure/leaflet/pamphlet
  129: bookmark/bookmarker
  130: boom microphone/microphone boom
  131: boot
  132: bottle
  133: bottle opener
  134: bouquet
  135: bow/bow weapon
  136: bow/bow decorative ribbons
  137: bow-tie/bowtie
  138: bowl
  139: pipe bowl
  140: bowler hat/bowler/derby hat/derby/plug hat
  141: bowling ball
  142: box
  143: boxing glove
  144: suspenders
  145: bracelet/bangle
  146: brass plaque
  147: brassiere/bra/bandeau
  148: bread-bin/breadbox
  149: bread
  150: breechcloth/breechclout/loincloth
  151: bridal gown/wedding gown/wedding dress
  152: briefcase
  153: broccoli
  154: broach
  155: broom
  156: brownie
  157: brussels sprouts
  158: bubble gum
  159: bucket/pail
  160: horse buggy
  161: horned cow
  162: bulldog
  163: bulldozer/dozer
  164: bullet train
  165: bulletin board/notice board
  166: bulletproof vest
  167: bullhorn/megaphone
  168: bun/roll
  169: bunk bed
  170: buoy
  171: burrito
  172: bus/bus vehicle/autobus/charabanc/double-decker/motorbus/motorcoach
  173: business card
  174: butter
  175: butterfly
  176: button
  177: cab/cab taxi/taxi/taxicab
  178: cabana
  179: cabin car/caboose
  180: cabinet
  181: locker/storage locker
  182: cake
  183: calculator
  184: calendar
  185: calf
  186: camcorder
  187: camel
  188: camera
  189: camera lens
  190: camper/camper vehicle/camping bus/motor home
  191: can/tin can
  192: can opener/tin opener
  193: candle/candlestick
  194: candle holder
  195: candy bar
  196: candy cane
  197: walking cane
  198: canister/canister
  199: canoe
  200: cantaloup/cantaloupe
  201: canteen
  202: cap/cap headwear
  203: bottle cap/cap/cap container lid
  204: cape
  205: cappuccino/coffee cappuccino
  206: car/car automobile/auto/auto automobile/automobile
  207: railcar/railcar part of a train/railway car/railway car part of a train/railroad car/railroad car part of a train
  208: elevator car
  209: car battery/automobile battery
  210: identity card
  211: card
  212: cardigan
  213: cargo ship/cargo vessel
  214: carnation
  215: horse carriage
  216: carrot
  217: tote bag
  218: cart
  219: carton
  220: cash register/register/register for cash transactions
  221: casserole
  222: cassette
  223: cast/plaster cast/plaster bandage
  224: cat
  225: cauliflower
  226: cayenne/cayenne spice/cayenne pepper/cayenne pepper spice/red pepper/red pepper spice
  227: CD player
  228: celery
  229: cellular telephone/cellular phone/cellphone/mobile phone/smart phone
  230: chain mail/ring mail/chain armor/chain armour/ring armor/ring armour
  231: chair
  232: chaise longue/chaise/daybed
  233: chalice
  234: chandelier
  235: chap
  236: checkbook/chequebook
  237: checkerboard
  238: cherry
  239: chessboard
  240: chicken/chicken animal
  241: chickpea/garbanzo
  242: chili/chili vegetable/chili pepper/chili pepper vegetable/chilli/chilli vegetable/chilly/chilly vegetable/chile/chile vegetable
  243: chime/gong
  244: chinaware
  245: crisp/crisp potato chip/potato chip
  246: poker chip
  247: chocolate bar
  248: chocolate cake
  249: chocolate milk
  250: chocolate mousse
  251: choker/collar/neckband
  252: chopping board/cutting board/chopping block
  253: chopstick
  254: Christmas tree
  255: slide
  256: cider/cyder
  257: cigar box
  258: cigarette
  259: cigarette case/cigarette pack
  260: cistern/water tank
  261: clarinet
  262: clasp
  263: cleansing agent/cleanser/cleaner
  264: cleat/cleat for securing rope
  265: clementine
  266: clip
  267: clipboard
  268: clippers/clippers for plants
  269: cloak
  270: clock/timepiece/timekeeper
  271: clock tower
  272: clothes hamper/laundry basket/clothes basket
  273: clothespin/clothes peg
  274: clutch bag
  275: coaster
  276: coat
  277: coat hanger/clothes hanger/dress hanger
  278: coatrack/hatrack
  279: cock/rooster
  280: cockroach
  281: cocoa/cocoa beverage/hot chocolate/hot chocolate beverage/drinking chocolate
  282: coconut/cocoanut
  283: coffee maker/coffee machine
  284: coffee table/cocktail table
  285: coffeepot
  286: coil
  287: coin
  288: colander/cullender
  289: coleslaw/slaw
  290: coloring material/colouring material
  291: combination lock
  292: pacifier/teething ring
  293: comic book
  294: compass
  295: computer keyboard/keyboard/keyboard computer
  296: condiment
  297: cone/traffic cone
  298: control/controller
  299: convertible/convertible automobile
  300: sofa bed
  301: cooker
  302: cookie/cooky/biscuit/biscuit cookie
  303: cooking utensil
  304: cooler/cooler for food/ice chest
  305: cork/cork bottle plug/bottle cork
  306: corkboard
  307: corkscrew/bottle screw
  308: edible corn/corn/maize
  309: cornbread
  310: cornet/horn/trumpet
  311: cornice/valance/valance board/pelmet
  312: cornmeal
  313: corset/girdle
  314: costume
  315: cougar/puma/catamount/mountain lion/panther
  316: coverall
  317: cowbell
  318: cowboy hat/ten-gallon hat
  319: crab/crab animal
  320: crabmeat
  321: cracker
  322: crape/crepe/French pancake
  323: crate
  324: crayon/wax crayon
  325: cream pitcher
  326: crescent roll/croissant
  327: crib/cot
  328: crock pot/earthenware jar
  329: crossbar
  330: crouton
  331: crow
  332: crowbar/wrecking bar/pry bar
  333: crown
  334: crucifix
  335: cruise ship/cruise liner
  336: police cruiser/patrol car/police car/squad car
  337: crumb
  338: crutch
  339: cub/cub animal
  340: cube/square block
  341: cucumber/cuke
  342: cufflink
  343: cup
  344: trophy cup
  345: cupboard/closet
  346: cupcake
  347: hair curler/hair roller/hair crimper
  348: curling iron
  349: curtain/drapery
  350: cushion
  351: cylinder
  352: cymbal
  353: dagger
  354: dalmatian
  355: dartboard
  356: date/date fruit
  357: deck chair/beach chair
  358: deer/cervid
  359: dental floss/floss
  360: desk
  361: detergent
  362: diaper
  363: diary/journal
  364: die/dice
  365: dinghy/dory/rowboat
  366: dining table
  367: tux/tuxedo
  368: dish
  369: dish antenna
  370: dishrag/dishcloth
  371: dishtowel/tea towel
  372: dishwasher/dishwashing machine
  373: dishwasher detergent/dishwashing detergent/dishwashing liquid/dishsoap
  374: dispenser
  375: diving board
  376: Dixie cup/paper cup
  377: dog
  378: dog collar
  379: doll
  380: dollar/dollar bill/one dollar bill
  381: dollhouse/doll's house
  382: dolphin
  383: domestic ass/donkey
  384: doorknob/doorhandle
  385: doormat/welcome mat
  386: doughnut/donut
  387: dove
  388: dragonfly
  389: drawer
  390: underdrawers/boxers/boxershorts
  391: dress/frock
  392: dress hat/high hat/opera hat/silk hat/top hat
  393: dress suit
  394: dresser
  395: drill
  396: drone
  397: dropper/eye dropper
  398: drum/drum musical instrument
  399: drumstick
  400: duck
  401: duckling
  402: duct tape
  403: duffel bag/duffle bag/duffel/duffle
  404: dumbbell
  405: dumpster
  406: dustpan
  407: eagle
  408: earphone/earpiece/headphone
  409: earplug
  410: earring
  411: easel
  412: eclair
  413: eel
  414: egg/eggs
  415: egg roll/spring roll
  416: egg yolk/yolk/yolk egg
  417: eggbeater/eggwhisk
  418: eggplant/aubergine
  419: electric chair
  420: refrigerator
  421: elephant
  422: elk/moose
  423: envelope
  424: eraser
  425: escargot
  426: eyepatch
  427: falcon
  428: fan
  429: faucet/spigot/tap
  430: fedora
  431: ferret
  432: Ferris wheel
  433: ferry/ferryboat
  434: fig/fig fruit
  435: fighter jet/fighter aircraft/attack aircraft
  436: figurine
  437: file cabinet/filing cabinet
  438: file/file tool
  439: fire alarm/smoke alarm
  440: fire engine/fire truck
  441: fire extinguisher/extinguisher
  442: fire hose
  443: fireplace
  444: fireplug/fire hydrant/hydrant
  445: first-aid kit
  446: fish
  447: fish/fish food
  448: fishbowl/goldfish bowl
  449: fishing rod/fishing pole
  450: flag
  451: flagpole/flagstaff
  452: flamingo
  453: flannel
  454: flap
  455: flash/flashbulb
  456: flashlight/torch
  457: fleece
  458: flip-flop/flip-flop sandal
  459: flipper/flipper footwear/fin/fin footwear
  460: flower arrangement/floral arrangement
  461: flute glass/champagne flute
  462: foal
  463: folding chair
  464: food processor
  465: football/football American
  466: football helmet
  467: footstool/footrest
  468: fork
  469: forklift
  470: freight car
  471: French toast
  472: freshener/air freshener
  473: frisbee
  474: frog/toad/toad frog
  475: fruit juice
  476: frying pan/frypan/skillet
  477: fudge
  478: funnel
  479: futon
  480: gag/muzzle
  481: garbage
  482: garbage truck
  483: garden hose
  484: gargle/mouthwash
  485: gargoyle
  486: garlic/ail
  487: gasmask/respirator/gas helmet
  488: gazelle
  489: gelatin/jelly
  490: gemstone
  491: generator
  492: giant panda/panda/panda bear
  493: gift wrap
  494: ginger/gingerroot
  495: giraffe
  496: cincture/sash/waistband/waistcloth
  497: glass/glass drink container/drinking glass
  498: globe
  499: glove
  500: goat
  501: goggles
  502: goldfish
  503: golf club/golf-club
  504: golfcart
  505: gondola/gondola boat
  506: goose
  507: gorilla
  508: gourd
  509: grape
  510: grater
  511: gravestone/headstone/tombstone
  512: gravy boat/gravy holder
  513: green bean
  514: green onion/spring onion/scallion
  515: griddle
  516: grill/grille/grillwork/radiator grille
  517: grits/hominy grits
  518: grizzly/grizzly bear
  519: grocery bag
  520: guitar
  521: gull/seagull
  522: gun
  523: hairbrush
  524: hairnet
  525: hairpin
  526: halter top
  527: ham/jambon/gammon
  528: hamburger/beefburger/burger
  529: hammer
  530: hammock
  531: hamper
  532: hamster
  533: hair dryer
  534: hand glass/hand mirror
  535: hand towel/face towel
  536: handcart/pushcart/hand truck
  537: handcuff
  538: handkerchief
  539: handle/grip/handgrip
  540: handsaw/carpenter's saw
  541: hardback book/hardcover book
  542: harmonium/organ/organ musical instrument/reed organ/reed organ musical instrument
  543: hat
  544: hatbox
  545: veil
  546: headband
  547: headboard
  548: headlight/headlamp
  549: headscarf
  550: headset
  551: headstall/headstall for horses/headpiece/headpiece for horses
  552: heart
  553: heater/warmer
  554: helicopter
  555: helmet
  556: heron
  557: highchair/feeding chair
  558: hinge
  559: hippopotamus
  560: hockey stick
  561: hog/pig
  562: home plate/home plate baseball/home base/home base baseball
  563: honey
  564: fume hood/exhaust hood
  565: hook
  566: hookah/narghile/nargileh/sheesha/shisha/water pipe
  567: hornet
  568: horse
  569: hose/hosepipe
  570: hot-air balloon
  571: hotplate
  572: hot sauce
  573: hourglass
  574: houseboat
  575: hummingbird
  576: hummus/humus/hommos/hoummos/humous
  577: polar bear
  578: icecream
  579: popsicle
  580: ice maker
  581: ice pack/ice bag
  582: ice skate
  583: igniter/ignitor/lighter
  584: inhaler/inhalator
  585: iPod
  586: iron/iron for clothing/smoothing iron/smoothing iron for clothing
  587: ironing board
  588: jacket
  589: jam
  590: jar
  591: jean/blue jean/denim
  592: jeep/landrover
  593: jelly bean/jelly egg
  594: jersey/T-shirt/tee shirt
  595: jet plane/jet-propelled plane
  596: jewel/gem/precious stone
  597: jewelry/jewellery
  598: joystick
  599: jumpsuit
  600: kayak
  601: keg
  602: kennel/doghouse
  603: kettle/boiler
  604: key
  605: keycard
  606: kilt
  607: kimono
  608: kitchen sink
  609: kitchen table
  610: kite
  611: kitten/kitty
  612: kiwi fruit
  613: knee pad
  614: knife
  615: knitting needle
  616: knob
  617: knocker/knocker on a door/doorknocker
  618: koala/koala bear
  619: lab coat/laboratory coat
  620: ladder
  621: ladle
  622: ladybug/ladybeetle/ladybird beetle
  623: lamb/lamb animal
  624: lamb-chop/lambchop
  625: lamp
  626: lamppost
  627: lampshade
  628: lantern
  629: lanyard/laniard
  630: laptop computer/notebook computer
  631: lasagna/lasagne
  632: latch
  633: lawn mower
  634: leather
  635: legging/legging clothing/leging/leging clothing/leg covering
  636: Lego/Lego set
  637: legume
  638: lemon
  639: lemonade
  640: lettuce
  641: license plate/numberplate
  642: life buoy/lifesaver/life belt/life ring
  643: life jacket/life vest
  644: lightbulb
  645: lightning rod/lightning conductor
  646: lime
  647: limousine
  648: lion
  649: lip balm
  650: liquor/spirits/hard liquor/liqueur/cordial
  651: lizard
  652: log
  653: lollipop
  654: speaker/speaker stereo equipment
  655: loveseat
  656: machine gun
  657: magazine
  658: magnet
  659: mail slot
  660: mailbox/mailbox at home/letter box/letter box at home
  661: mallard
  662: mallet
  663: mammoth
  664: manatee
  665: mandarin orange
  666: manager/through
  667: manhole
  668: map
  669: marker
  670: martini
  671: mascot
  672: mashed potato
  673: masher
  674: mask/facemask
  675: mast
  676: mat/mat gym equipment/gym mat
  677: matchbox
  678: mattress
  679: measuring cup
  680: measuring stick/ruler/ruler measuring stick/measuring rod
  681: meatball
  682: medicine
  683: melon
  684: microphone
  685: microscope
  686: microwave oven
  687: milestone/milepost
  688: milk
  689: milk can
  690: milkshake
  691: minivan
  692: mint candy
  693: mirror
  694: mitten
  695: mixer/mixer kitchen tool/stand mixer
  696: money
  697: monitor/monitor computer equipment
  698: monkey
  699: motor
  700: motor scooter/scooter
  701: motor vehicle/automotive vehicle
  702: motorcycle
  703: mound/mound baseball/pitcher's mound
  704: mouse/mouse computer equipment/computer mouse
  705: mousepad
  706: muffin
  707: mug
  708: mushroom
  709: music stool/piano stool
  710: musical instrument/instrument/instrument musical
  711: nailfile
  712: napkin/table napkin/serviette
  713: neckerchief
  714: necklace
  715: necktie/tie/tie necktie
  716: needle
  717: nest
  718: newspaper/paper/paper newspaper
  719: newsstand
  720: nightshirt/nightwear/sleepwear/nightclothes
  721: nosebag/nosebag for animals/feedbag
  722: noseband/noseband for animals/nosepiece/nosepiece for animals
  723: notebook
  724: notepad
  725: nut
  726: nutcracker
  727: oar
  728: octopus/octopus food
  729: octopus/octopus animal
  730: oil lamp/kerosene lamp/kerosine lamp
  731: olive oil
  732: omelet/omelette
  733: onion
  734: orange/orange fruit
  735: orange juice
  736: ostrich
  737: ottoman/pouf/pouffe/hassock
  738: oven
  739: overalls/overalls clothing
  740: owl
  741: packet
  742: inkpad/inking pad/stamp pad
  743: pad
  744: paddle/boat paddle
  745: padlock
  746: paintbrush
  747: painting
  748: pajamas/pyjamas
  749: palette/pallet
  750: pan/pan for cooking/cooking pan
  751: pan/pan metal container
  752: pancake
  753: pantyhose
  754: papaya
  755: paper plate
  756: paper towel
  757: paperback book/paper-back book/softback book/soft-cover book
  758: paperweight
  759: parachute
  760: parakeet/parrakeet/parroket/paraquet/paroquet/parroquet
  761: parasail/parasail sports
  762: parasol/sunshade
  763: parchment
  764: parka/anorak
  765: parking meter
  766: parrot
  767: passenger car/passenger car part of a train/coach/coach part of a train
  768: passenger ship
  769: passport
  770: pastry
  771: patty/patty food
  772: pea/pea food
  773: peach
  774: peanut butter
  775: pear
  776: peeler/peeler tool for fruit and vegetables
  777: wooden leg/pegleg
  778: pegboard
  779: pelican
  780: pen
  781: pencil
  782: pencil box/pencil case
  783: pencil sharpener
  784: pendulum
  785: penguin
  786: pennant
  787: penny/penny coin
  788: pepper/peppercorn
  789: pepper mill/pepper grinder
  790: perfume
  791: persimmon
  792: person/baby/child/boy/girl/man/woman/human
  793: pet
  794: pew/pew church bench/church bench
  795: phonebook/telephone book/telephone directory
  796: phonograph record/phonograph recording/record/record phonograph recording
  797: piano
  798: pickle
  799: pickup truck
  800: pie
  801: pigeon
  802: piggy bank/penny bank
  803: pillow
  804: pin/pin non jewelry
  805: pineapple
  806: pinecone
  807: ping-pong ball
  808: pinwheel
  809: tobacco pipe
  810: pipe/piping
  811: pistol/handgun
  812: pita/pita bread/pocket bread
  813: pitcher/pitcher vessel for liquid/ewer
  814: pitchfork
  815: pizza
  816: place mat
  817: plate
  818: platter
  819: playpen
  820: pliers/plyers
  821: plow/plow farm equipment/plough/plough farm equipment
  822: plume
  823: pocket watch
  824: pocketknife
  825: poker/poker fire stirring tool/stove poker/fire hook
  826: pole/post
  827: polo shirt/sport shirt
  828: poncho
  829: pony
  830: pool table/billiard table/snooker table
  831: pop/pop soda/soda/soda pop/tonic/soft drink
  832: postbox/postbox public/mailbox/mailbox public
  833: postcard/postal card/mailing-card
  834: poster/placard
  835: pot
  836: flowerpot
  837: potato
  838: potholder
  839: pottery/clayware
  840: pouch
  841: power shovel/excavator/digger
  842: prawn/shrimp
  843: pretzel
  844: printer/printing machine
  845: projectile/projectile weapon/missile
  846: projector
  847: propeller/propellor
  848: prune
  849: pudding
  850: puffer/puffer fish/pufferfish/blowfish/globefish
  851: puffin
  852: pug-dog
  853: pumpkin
  854: puncher
  855: puppet/marionette
  856: puppy
  857: quesadilla
  858: quiche
  859: quilt/comforter
  860: rabbit
  861: race car/racing car
  862: racket/racquet
  863: radar
  864: radiator
  865: radio receiver/radio set/radio/tuner/tuner radio
  866: radish/daikon
  867: raft
  868: rag doll
  869: raincoat/waterproof jacket
  870: ram/ram animal
  871: raspberry
  872: rat
  873: razorblade
  874: reamer/reamer juicer/juicer/juice reamer
  875: rearview mirror
  876: receipt
  877: recliner/reclining chair/lounger/lounger chair
  878: record player/phonograph/phonograph record player/turntable
  879: reflector
  880: remote control
  881: rhinoceros
  882: rib/rib food
  883: rifle
  884: ring
  885: river boat
  886: road map
  887: robe
  888: rocking chair
  889: rodent
  890: roller skate
  891: Rollerblade
  892: rolling pin
  893: root beer
  894: router/router computer equipment
  895: rubber band/elastic band
  896: runner/runner carpet
  897: plastic bag/paper bag
  898: saddle/saddle on an animal
  899: saddle blanket/saddlecloth/horse blanket
  900: saddlebag
  901: safety pin
  902: sail
  903: salad
  904: salad plate/salad bowl
  905: salami
  906: salmon/salmon fish
  907: salmon/salmon food
  908: salsa
  909: saltshaker
  910: sandal/sandal type of shoe
  911: sandwich
  912: satchel
  913: saucepan
  914: saucer
  915: sausage
  916: sawhorse/sawbuck
  917: saxophone
  918: scale/scale measuring instrument
  919: scarecrow/strawman
  920: scarf
  921: school bus
  922: scissors
  923: scoreboard
  924: scraper
  925: screwdriver
  926: scrubbing brush
  927: sculpture
  928: seabird/seafowl
  929: seahorse
  930: seaplane/hydroplane
  931: seashell
  932: sewing machine
  933: shaker
  934: shampoo
  935: shark
  936: sharpener
  937: Sharpie
  938: shaver/shaver electric/electric shaver/electric razor
  939: shaving cream/shaving soap
  940: shawl
  941: shears
  942: sheep
  943: shepherd dog/sheepdog
  944: sherbert/sherbet
  945: shield
  946: shirt
  947: shoe/sneaker/sneaker type of shoe/tennis shoe
  948: shopping bag
  949: shopping cart
  950: short pants/shorts/shorts clothing/trunks/trunks clothing
  951: shot glass
  952: shoulder bag
  953: shovel
  954: shower head
  955: shower cap
  956: shower curtain
  957: shredder/shredder for paper
  958: signboard
  959: silo
  960: sink
  961: skateboard
  962: skewer
  963: ski
  964: ski boot
  965: ski parka/ski jacket
  966: ski pole
  967: skirt
  968: skullcap
  969: sled/sledge/sleigh
  970: sleeping bag
  971: sling/sling bandage/triangular bandage
  972: slipper/slipper footwear/carpet slipper/carpet slipper footwear
  973: smoothie
  974: snake/serpent
  975: snowboard
  976: snowman
  977: snowmobile
  978: soap
  979: soccer ball
  980: sock
  981: sofa/couch/lounge
  982: softball
  983: solar array/solar battery/solar panel
  984: sombrero
  985: soup
  986: soup bowl
  987: soupspoon
  988: sour cream/soured cream
  989: soya milk/soybean milk/soymilk
  990: space shuttle
  991: sparkler/sparkler fireworks
  992: spatula
  993: spear/lance
  994: spectacles/specs/eyeglasses/glasses
  995: spice rack
  996: spider
  997: crawfish/crayfish
  998: sponge
  999: spoon
  1000: sportswear/athletic wear/activewear
  1001: spotlight
  1002: squid/squid food/calamari/calamary
  1003: squirrel
  1004: stagecoach
  1005: stapler/stapler stapling machine
  1006: starfish/sea star
  1007: statue/statue sculpture
  1008: steak/steak food
  1009: steak knife
  1010: steering wheel
  1011: stepladder
  1012: step stool
  1013: stereo/stereo sound system
  1014: stew
  1015: stirrer
  1016: stirrup
  1017: stool
  1018: stop sign
  1019: brake light
  1020: stove/kitchen stove/range/range kitchen appliance/kitchen range/cooking stove
  1021: strainer
  1022: strap
  1023: straw/straw for drinking/drinking straw
  1024: strawberry
  1025: street sign
  1026: streetlight/street lamp
  1027: string cheese
  1028: stylus
  1029: subwoofer
  1030: sugar bowl
  1031: sugarcane/sugarcane plant
  1032: suit/suit clothing
  1033: sunflower
  1034: sunglasses
  1035: sunhat
  1036: surfboard
  1037: sushi
  1038: mop
  1039: sweat pants
  1040: sweatband
  1041: sweater
  1042: sweatshirt
  1043: sweet potato
  1044: swimsuit/swimwear/bathing suit/swimming costume/bathing costume/swimming trunks/bathing trunks
  1045: sword
  1046: syringe
  1047: Tabasco sauce
  1048: table-tennis table/ping-pong table
  1049: table
  1050: table lamp
  1051: tablecloth
  1052: tachometer
  1053: taco
  1054: tag
  1055: taillight/rear light
  1056: tambourine
  1057: army tank/armored combat vehicle/armoured combat vehicle
  1058: tank/tank storage vessel/storage tank
  1059: tank top/tank top clothing
  1060: tape/tape sticky cloth or paper
  1061: tape measure/measuring tape
  1062: tapestry
  1063: tarp
  1064: tartan/plaid
  1065: tassel
  1066: tea bag
  1067: teacup
  1068: teakettle
  1069: teapot
  1070: teddy bear
  1071: telephone/phone/telephone set
  1072: telephone booth/phone booth/call box/telephone box/telephone kiosk
  1073: telephone pole/telegraph pole/telegraph post
  1074: telephoto lens/zoom lens
  1075: television camera/tv camera
  1076: television set/tv/tv set
  1077: tennis ball
  1078: tennis racket
  1079: tequila
  1080: thermometer
  1081: thermos bottle
  1082: thermostat
  1083: thimble
  1084: thread/yarn
  1085: thumbtack/drawing pin/pushpin
  1086: tiara
  1087: tiger
  1088: tights/tights clothing/leotards
  1089: timer/stopwatch
  1090: tinfoil
  1091: tinsel
  1092: tissue paper
  1093: toast/toast food
  1094: toaster
  1095: toaster oven
  1096: toilet
  1097: toilet tissue/toilet paper/bathroom tissue
  1098: tomato
  1099: tongs
  1100: toolbox
  1101: toothbrush
  1102: toothpaste
  1103: toothpick
  1104: cover
  1105: tortilla
  1106: tow truck
  1107: towel
  1108: towel rack/towel rail/towel bar
  1109: toy
  1110: tractor/tractor farm equipment
  1111: traffic light
  1112: dirt bike
  1113: trailer truck/tractor trailer/trucking rig/articulated lorry/semi truck
  1114: train/train railroad vehicle/railroad train
  1115: trampoline
  1116: tray
  1117: trench coat
  1118: triangle/triangle musical instrument
  1119: tricycle
  1120: tripod
  1121: trousers/pants/pants clothing
  1122: truck
  1123: truffle/truffle chocolate/chocolate truffle
  1124: trunk
  1125: vat
  1126: turban
  1127: turkey/turkey food
  1128: turnip
  1129: turtle
  1130: turtleneck/turtleneck clothing/polo-neck
  1131: typewriter
  1132: umbrella
  1133: underwear/underclothes/underclothing/underpants
  1134: unicycle
  1135: urinal
  1136: urn
  1137: vacuum cleaner
  1138: vase
  1139: vending machine
  1140: vent/blowhole/air vent
  1141: vest/waistcoat
  1142: videotape
  1143: vinegar
  1144: violin/fiddle
  1145: vodka
  1146: volleyball
  1147: vulture
  1148: waffle
  1149: waffle iron
  1150: wagon
  1151: wagon wheel
  1152: walking stick
  1153: wall clock
  1154: wall socket/wall plug/electric outlet/electrical outlet/outlet/electric receptacle
  1155: wallet/billfold
  1156: walrus
  1157: wardrobe
  1158: washbasin/basin/basin for washing/washbowl/washstand/handbasin
  1159: automatic washer/washing machine
  1160: watch/wristwatch
  1161: water bottle
  1162: water cooler
  1163: water faucet/water tap/tap/tap water faucet
  1164: water heater/hot-water heater
  1165: water jug
  1166: water gun/squirt gun
  1167: water scooter/sea scooter/jet ski
  1168: water ski
  1169: water tower
  1170: watering can
  1171: watermelon
  1172: weathervane/vane/vane weathervane/wind vane
  1173: webcam
  1174: wedding cake/bridecake
  1175: wedding ring/wedding band
  1176: wet suit
  1177: wheel
  1178: wheelchair
  1179: whipped cream
  1180: whistle
  1181: wig
  1182: wind chime
  1183: windmill
  1184: window box/window box for plants
  1185: windshield wiper/windscreen wiper/wiper/wiper for windshield or screen
  1186: windsock/air sock/air-sleeve/wind sleeve/wind cone
  1187: wine bottle
  1188: wine bucket/wine cooler
  1189: wineglass
  1190: blinder/blinder for horses
  1191: wok
  1192: wolf
  1193: wooden spoon
  1194: wreath
  1195: wrench/spanner
  1196: wristband
  1197: wristlet/wrist band
  1198: yacht
  1199: yogurt/yoghurt/yoghourt
  1200: yoke/yoke animal equipment
  1201: zebra
  1202: zucchini/courgette

# Download script/URL (optional)
download: |
  from ultralytics.utils.downloads import download
  from pathlib import Path

  # Download labels
  dir = Path(yaml['path'])  # dataset root dir
  url = 'https://github.com/ultralytics/assets/releases/download/v0.0.0/'
  urls = [url + 'lvis-labels-segments.zip']  # labels
  download(urls, dir=dir.parent)
  # Download data
  urls = ['http://images.cocodataset.org/zips/train2017.zip',  # 19G, 118k images
          'http://images.cocodataset.org/zips/val2017.zip',  # 1G, 5k images
          'http://images.cocodataset.org/zips/test2017.zip']  # 7G, 41k images (optional)
  download(urls, dir=dir / 'images', threads=3)

์‚ฌ์šฉ๋ฒ•

์ด๋ฏธ์ง€ ํฌ๊ธฐ๊ฐ€ 640์ธ 100๊ฐœ์˜ ์—ํฌํฌ์— ๋Œ€ํ•ด LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์—์„œ YOLO11n ๋ชจ๋ธ์„ ํ›ˆ๋ จํ•˜๋ ค๋ฉด ๋‹ค์Œ ์ฝ”๋“œ ์กฐ๊ฐ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์ธ์ˆ˜์˜ ์ „์ฒด ๋ชฉ๋ก์€ ๋ชจ๋ธ ํ›ˆ๋ จ ํŽ˜์ด์ง€๋ฅผ ์ฐธ์กฐํ•˜์„ธ์š”.

์—ด์ฐจ ์˜ˆ์‹œ

from ultralytics import YOLO

# Load a model
model = YOLO("yolo11n.pt")  # load a pretrained model (recommended for training)

# Train the model
results = model.train(data="lvis.yaml", epochs=100, imgsz=640)
# Start training from a pretrained *.pt model
yolo detect train data=lvis.yaml model=yolo11n.pt epochs=100 imgsz=640

์ƒ˜ํ”Œ ์ด๋ฏธ์ง€ ๋ฐ ์ฃผ์„

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์—๋Š” ๋‹ค์–‘ํ•œ ๊ฐ์ฒด ๋ฒ”์ฃผ์™€ ๋ณต์žกํ•œ ์žฅ๋ฉด์ด ํฌํ•จ๋œ ๋‹ค์–‘ํ•œ ์ด๋ฏธ์ง€ ์„ธํŠธ๊ฐ€ ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋‹ค์Œ์€ ๋ฐ์ดํ„ฐ ์„ธํŠธ์˜ ์ด๋ฏธ์ง€์™€ ํ•ด๋‹น ์ฃผ์„์˜ ๋ช‡ ๊ฐ€์ง€ ์˜ˆ์ž…๋‹ˆ๋‹ค:

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ ์ƒ˜ํ”Œ ์ด๋ฏธ์ง€

  • ๋ชจ์ž์ดํฌ ์ด๋ฏธ์ง€: ์ด ์ด๋ฏธ์ง€๋Š” ๋ชจ์ž์ดํฌ๋œ ๋ฐ์ดํ„ฐ ์„ธํŠธ ์ด๋ฏธ์ง€๋กœ ๊ตฌ์„ฑ๋œ ํ›ˆ๋ จ ๋ฐฐ์น˜์˜ ์˜ˆ์‹œ์ž…๋‹ˆ๋‹ค. ๋ชจ์ž์ดํฌ๋Š” ์—ฌ๋Ÿฌ ์ด๋ฏธ์ง€๋ฅผ ํ•˜๋‚˜์˜ ์ด๋ฏธ์ง€๋กœ ๊ฒฐํ•ฉํ•˜์—ฌ ๊ฐ ํ›ˆ๋ จ ๋ฐฐ์น˜ ๋‚ด์—์„œ ๋‹ค์–‘ํ•œ ๊ฐœ์ฒด์™€ ์žฅ๋ฉด์„ ๋Š˜๋ฆฌ๊ธฐ ์œ„ํ•ด ํ›ˆ๋ จ ์ค‘์— ์‚ฌ์šฉ๋˜๋Š” ๊ธฐ์ˆ ์ž…๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋‹ค์–‘ํ•œ ๊ฐ์ฒด ํฌ๊ธฐ, ์ข…ํšก๋น„ ๋ฐ ์ปจํ…์ŠคํŠธ์— ์ผ๋ฐ˜ํ™”ํ•˜๋Š” ๋ชจ๋ธ์˜ ๋Šฅ๋ ฅ์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ด ์˜ˆ๋Š” LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์— ํฌํ•จ๋œ ์ด๋ฏธ์ง€์˜ ๋‹ค์–‘์„ฑ๊ณผ ๋ณต์žก์„ฑ, ๊ทธ๋ฆฌ๊ณ  ํ›ˆ๋ จ ๊ณผ์ •์—์„œ ๋ชจ์ž์ดํฌ ์‚ฌ์šฉ์˜ ์ด์ ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

์ธ์šฉ ๋ฐ ๊ฐ์‚ฌ

์—ฐ๊ตฌ ๋˜๋Š” ๊ฐœ๋ฐœ ์ž‘์—…์— LVIS ๋ฐ์ดํ„ฐ์„ธํŠธ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ ๋‹ค์Œ ๋…ผ๋ฌธ์„ ์ธ์šฉํ•ด ์ฃผ์„ธ์š”:

@inproceedings{gupta2019lvis,
  title={LVIS: A Dataset for Large Vocabulary Instance Segmentation},
  author={Gupta, Agrim and Dollar, Piotr and Girshick, Ross},
  booktitle={Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition},
  year={2019}
}

์ปดํ“จํ„ฐ ๋น„์ „ ์ปค๋ฎค๋‹ˆํ‹ฐ๋ฅผ ์œ„ํ•ด ์ด ๊ท€์ค‘ํ•œ ๋ฆฌ์†Œ์Šค๋ฅผ ๋งŒ๋“ค๊ณ  ์œ ์ง€ ๊ด€๋ฆฌํ•ด ์ฃผ์‹  LVIS ์ปจ์†Œ์‹œ์—„์— ๊ฐ์‚ฌ์˜ ๋ง์”€์„ ์ „ํ•ฉ๋‹ˆ๋‹ค. LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์™€ ์ œ์ž‘์ž์— ๋Œ€ํ•œ ์ž์„ธํ•œ ๋‚ด์šฉ์€ LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ ์›น์‚ฌ์ดํŠธ๋ฅผ ์ฐธ์กฐํ•˜์„ธ์š”.

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ๋Š” ๋ฌด์—‡์ด๋ฉฐ ์ปดํ“จํ„ฐ ๋น„์ „์—์„œ ์–ด๋–ป๊ฒŒ ์‚ฌ์šฉ๋˜๋‚˜์š”?

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ ๋Š” Facebook AI Research(FAIR)์—์„œ ๊ฐœ๋ฐœํ•œ ์„ธ๋ถ„ํ™”๋œ ์–ดํœ˜ ์ˆ˜์ค€์˜ ์ฃผ์„์ด ํฌํ•จ๋œ ๋Œ€๊ทœ๋ชจ ๋ฐ์ดํ„ฐ ์„ธํŠธ์ž…๋‹ˆ๋‹ค. ์ฃผ๋กœ ๊ฐ์ฒด ๊ฐ์ง€ ๋ฐ ์ธ์Šคํ„ด์Šค ์„ธ๋ถ„ํ™”์— ์‚ฌ์šฉ๋˜๋ฉฐ, 1203๊ฐœ ์ด์ƒ์˜ ๊ฐ์ฒด ๋ฒ”์ฃผ์™€ 200๋งŒ ๊ฐœ์˜ ์ธ์Šคํ„ด์Šค ์ฃผ์„์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ์—ฐ๊ตฌ์ž์™€ ์‹ค๋ฌด์ž๋“ค์€ ๊ณ ๊ธ‰ ์ปดํ“จํ„ฐ ๋น„์ „ ์ž‘์—…์„ ์œ„ํ•ด Ultralytics YOLO ๊ฐ™์€ ๋ชจ๋ธ์„ ํ›ˆ๋ จํ•˜๊ณ  ๋ฒค์น˜๋งˆํ‚นํ•˜๋Š” ๋ฐ ์ด ๋ฐ์ดํ„ฐ์„ธํŠธ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ด ๋ฐ์ดํ„ฐ ์„ธํŠธ์˜ ๋ฐฉ๋Œ€ํ•œ ๊ทœ๋ชจ์™€ ๋‹ค์–‘์„ฑ์€ ๊ฐ์ง€ ๋ฐ ์„ธ๋ถ„ํ™”์—์„œ ๋ชจ๋ธ ์„ฑ๋Šฅ์˜ ํ•œ๊ณ„๋ฅผ ๋›ฐ์–ด๋„˜๋Š” ๋ฐ ํ•„์ˆ˜์ ์ธ ๋ฆฌ์†Œ์Šค์ž…๋‹ˆ๋‹ค.

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ YOLO11n ๋ชจ๋ธ์„ ํ›ˆ๋ จํ•˜๋ ค๋ฉด ์–ด๋–ป๊ฒŒ ํ•ด์•ผ ํ•˜๋‚˜์š”?

์ด๋ฏธ์ง€ ํฌ๊ธฐ๊ฐ€ 640์ธ LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์— ๋Œ€ํ•ด 100๊ฐœ ์‹œ๋Œ€์— ๋Œ€ํ•œ YOLO11n ๋ชจ๋ธ์„ ํ›ˆ๋ จํ•˜๋ ค๋ฉด ์•„๋ž˜ ์˜ˆ์‹œ๋ฅผ ๋”ฐ๋ฅด์„ธ์š”. ์ด ํ”„๋กœ์„ธ์Šค์—์„œ๋Š” ํฌ๊ด„์ ์ธ ํ›ˆ๋ จ ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•˜๋Š” Ultralytics' ํ”„๋ ˆ์ž„์›Œํฌ๋ฅผ ํ™œ์šฉํ•ฉ๋‹ˆ๋‹ค.

์—ด์ฐจ ์˜ˆ์‹œ

from ultralytics import YOLO

# Load a model
model = YOLO("yolo11n.pt")  # load a pretrained model (recommended for training)

# Train the model
results = model.train(data="lvis.yaml", epochs=100, imgsz=640)
# Start training from a pretrained *.pt model
yolo detect train data=lvis.yaml model=yolo11n.pt epochs=100 imgsz=640

์ž์„ธํ•œ ๊ต์œก ๊ตฌ์„ฑ์€ ๊ต์œก ๋ฌธ์„œ๋ฅผ ์ฐธ์กฐํ•˜์„ธ์š”.

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ๋Š” COCO ๋ฐ์ดํ„ฐ ์„ธํŠธ์™€ ์–ด๋–ป๊ฒŒ ๋‹ค๋ฅธ๊ฐ€์š”?

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์˜ ์ด๋ฏธ์ง€๋Š” COCO ๋ฐ์ดํ„ฐ ์„ธํŠธ์˜ ์ด๋ฏธ์ง€์™€ ๋™์ผํ•˜์ง€๋งŒ ๋ถ„ํ• ๊ณผ ์ฃผ์„์ด ๋‹ค๋ฆ…๋‹ˆ๋‹ค. LVIS๋Š” 1203๊ฐœ์˜ ๊ฐœ์ฒด ๋ฒ”์ฃผ๋กœ ๋” ํฌ๊ณ  ์ƒ์„ธํ•œ ์–ดํœ˜๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, COCO์˜ 80๊ฐœ ๋ฒ”์ฃผ์— ๋น„ํ•ด ๋” ๋งŽ์€ ์–ดํœ˜๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ LVIS๋Š” ์ฃผ์„์˜ ์™„์ „์„ฑ๊ณผ ๋‹ค์–‘์„ฑ์— ์ค‘์ ์„ ๋‘์–ด ๋ณด๋‹ค ๋ฏธ๋ฌ˜ํ•˜๊ณ  ํฌ๊ด„์ ์ธ ๋ฐ์ดํ„ฐ๋ฅผ ์ œ๊ณตํ•จ์œผ๋กœ์จ ๊ฐ์ฒด ๊ฐ์ง€ ๋ฐ ์ธ์Šคํ„ด์Šค ๋ถ„ํ•  ๋ชจ๋ธ์˜ ํ•œ๊ณ„๋ฅผ ๋›ฐ์–ด๋„˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•ฉ๋‹ˆ๋‹ค.

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์— ๋Œ€ํ•œ ๊ต์œก์— Ultralytics YOLO ์„ ์‚ฌ์šฉํ•ด์•ผ ํ•˜๋Š” ์ด์œ ๋Š” ๋ฌด์—‡์ธ๊ฐ€์š”?

Ultralytics YOLO ์ตœ์‹  ๋ชจ๋ธ( YOLO11)์€ ์ตœ์ฒจ๋‹จ ์ •ํ™•๋„์™€ ์†๋„๋กœ ์‹ค์‹œ๊ฐ„ ๋ฌผ์ฒด ๊ฐ์ง€์— ์ตœ์ ํ™”๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์—์„œ ์ œ๊ณตํ•˜๋Š” ์„ธ๋ถ„ํ™”๋œ ์ฃผ์„๊ณผ ๊ฐ™์€ ๊ด‘๋ฒ”์œ„ํ•œ ์ฃผ์„์„ ์ง€์›ํ•˜๋ฏ€๋กœ ๊ณ ๊ธ‰ ์ปดํ“จํ„ฐ ๋น„์ „ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์— ์ด์ƒ์ ์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ Ultralytics ์€ ๋‹ค์–‘ํ•œ ํ›ˆ๋ จ, ๊ฒ€์ฆ ๋ฐ ์˜ˆ์ธก ๋ชจ๋“œ์™€์˜ ์›ํ™œํ•œ ํ†ตํ•ฉ์„ ์ œ๊ณตํ•˜์—ฌ ํšจ์œจ์ ์ธ ๋ชจ๋ธ ๊ฐœ๋ฐœ ๋ฐ ๋ฐฐํฌ๋ฅผ ๋ณด์žฅํ•ฉ๋‹ˆ๋‹ค.

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์˜ ์ƒ˜ํ”Œ ์ฃผ์„์„ ๋ณผ ์ˆ˜ ์žˆ๋‚˜์š”?

์˜ˆ, LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์—๋Š” ๋‹ค์–‘ํ•œ ๊ฐ์ฒด ๋ฒ”์ฃผ์™€ ๋ณต์žกํ•œ ์žฅ๋ฉด์ด ํฌํ•จ๋œ ๋‹ค์–‘ํ•œ ์ด๋ฏธ์ง€๊ฐ€ ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋‹ค์Œ์€ ์ฃผ์„๊ณผ ํ•จ๊ป˜ ์ƒ˜ํ”Œ ์ด๋ฏธ์ง€์˜ ์˜ˆ์‹œ์ž…๋‹ˆ๋‹ค:

LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ ์ƒ˜ํ”Œ ์ด๋ฏธ์ง€

์ด ๋ชจ์ž์ดํฌ ์ด๋ฏธ์ง€๋Š” ์—ฌ๋Ÿฌ ๋ฐ์ดํ„ฐ ์„ธํŠธ ์ด๋ฏธ์ง€๊ฐ€ ํ•˜๋‚˜๋กœ ๊ฒฐํ•ฉ๋œ ํ›ˆ๋ จ ๋ฐฐ์น˜๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ๋ชจ์ž์ดํฌ๋Š” ๊ฐ ํ›ˆ๋ จ ๋ฐฐ์น˜ ๋‚ด์—์„œ ๊ฐœ์ฒด์™€ ์žฅ๋ฉด์˜ ๋‹ค์–‘์„ฑ์„ ์ฆ๊ฐ€์‹œ์ผœ ๋‹ค์–‘ํ•œ ์ปจํ…์ŠคํŠธ์—์„œ ์ผ๋ฐ˜ํ™”ํ•˜๋Š” ๋ชจ๋ธ์˜ ๋Šฅ๋ ฅ์„ ํ–ฅ์ƒ์‹œํ‚ต๋‹ˆ๋‹ค. LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ์— ๋Œ€ํ•œ ์ž์„ธํ•œ ๋‚ด์šฉ์€ LVIS ๋ฐ์ดํ„ฐ ์„ธํŠธ ์„ค๋ช…์„œ๋ฅผ ์ฐธ์กฐํ•˜์„ธ์š”.

7๊ฐœ์›” ์ „ ์ƒ์„ฑ๋จ โœ๏ธ 1๊ฐœ์›” ์ „ ์—…๋ฐ์ดํŠธ๋จ

๋Œ“๊ธ€