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pictograph/lvis-20k

View on Pictograph · Pictograph Research · Creative Commons Attribution 4.0 About LVIS-20k is a computer-vision dataset curated and annotated on Pictograph. The most common detected objects are person, child, bus, train, cat, giraffe. On Pictograph you can browse every annotated image, fork it into your own workspace in one click, export it in a dozen formats, or train a model on it directly. At a glance Metric Value Images 19,808 Annotations 244… See the full description on the dataset page: https://huggingface.co/datasets/pictograph/lvis-20k.

sourceHugging Facecc-by-4.0updated 2mo agoView on Hugging Face
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Dataset Card

![LVIS-20k - annotated computer-vision dataset on Pictograph](https://pictograph.io/datasets/pictograph-research/lvis-20k)

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[View on Pictograph](https://pictograph.io/datasets/pictograph-research/lvis-20k) · Pictograph Research · Creative Commons Attribution 4.0

About

LVIS-20k is a computer-vision dataset curated and annotated on Pictograph. The most common detected objects are person, child, bus, train, cat, giraffe. On Pictograph you can browse every annotated image, fork it into your own workspace in one click, export it in a dozen formats, or train a model on it directly.

At a glance

MetricValue
Images19,808
Annotations244,700
Classes1,203
Annotation typespolygon, bounding box
Splitstrain

Quick start

Load it in one line with the datasets library, then read each record's boxes and class names:

python
from datasets import load_dataset
from PIL import ImageDraw

ds = load_dataset("pictograph/lvis-20k", split="train")
example = ds[0]
image = example["image"]            # a PIL image
objects = example["objects"]        # {bbox, categories, category_names}

# draw every bounding box with its class name
draw = ImageDraw.Draw(image)
for (x, y, w, h), name in zip(objects["bbox"], objects["category_names"]):
    draw.rectangle([x, y, x + w, y + h], outline="red", width=3)
    draw.text((x, y - 12), name, fill="red")

# polygon masks live under example["segmentation"]:
#   [{"label": name, "category": idx, "points": [[x, y], ...]}, ...]
image.show()

Prefer a full annotation editor, one-click fork, multi-format export, and one-click training? Open this dataset on Pictograph.

Dataset structure

This dataset uses the Hugging Face imagefolder layout: each split directory holds the images plus a metadata.jsonl that links every image to its annotations by file_name.

FieldDescription
file_namePath to the image within the split directory.
objects.bboxBounding boxes as [x, y, width, height] (pixels).
objects.categoriesInteger class index per box (matches the class list below).
objects.category_namesHuman class name per box.
segmentationList of {label, category, points}; points is a polygon ring [[x, y], ...].

Data instance

One record (bounding boxes are [x, y, width, height] in pixels; the class index maps into the class list below):

python
{
  "image": <PIL.Image (RGB)>,
  "objects": {
    "bbox": [[172.0, 192.0, 249.4, 152.7]],
    "categories": [0],
    "category_names": ["person"]
  },
  "segmentation": [
    {"label": "person", "category": 0, "points": [[176.9, 207.2], [259.0, 274.1], ...]}
  ]
}

Classes

Class index matches objects.categories in metadata.jsonl.

All 1,203 classes, in index order: BandAid, Bible, CDplayer, Christmastree, Dixiecup, Ferriswheel, Frenchtoast, Lego, Rollerblade, Sharpie, Tabascosauce, aerosolcan, airconditioner, airplane, alarmclock, alcohol, alligator, almond, ambulance, amplifier, anklet, antenna, apple, applesauce, apricot, apron, aquarium, arctic(typeofshoe), armband, armchair, armoire, armor, armytank, artichoke, ashtray, asparagus, atomizer, automaticwasher, avocado, award, awning, ax, baboon, babybuggy, backpack, bagel, bagpipe, baguet, bait, ball, balletskirt, balloon, bamboo, banana, bandage, bandanna, banjo, banner, barbell, barge, barrel, barrette, barrow, baseball, baseballbase, baseballbat, baseballcap, baseballglove, basket, basketball, basketballbackboard, basshorn, bat(animal), bathmat, bathtowel, bathrobe, bathtub, batter(food), battery, beachball, bead, beancurd, beanbag, beanie, bear, bed, bedpan, bedspread, beef(food), beeper, beerbottle, beercan, beetle, bell, bellpepper, belt, beltbuckle, bench, beret, bib, bicycle, billboard, binder, binoculars, bird, birdbath, birdcage, birdfeeder, birdhouse, birthdaycake, birthdaycard, blacksheep, blackberry, blackboard, blanket, blazer, blender, blimp, blinder(forhorses), blinker, blouse, blueberry, boat, bob, bobbin, bobbypin, boiledegg, bolotie, bolt, bonnet, book, bookcase, booklet, bookmark, boommicrophone, boot, bottle, bottlecap, bottleopener, bouquet, bow-tie, bow(decorativeribbons), bow(weapon), bowl, bowlerhat, bowlingball, box, boxingglove, bracelet, brakelight, brassplaque, brassiere, bread, bread-bin, breechcloth, bridalgown, briefcase, broach, broccoli, broom, brownie, brusselssprouts, bubblegum, bucket, bull, bulldog, bulldozer, bullettrain, bulletinboard, bulletproofvest, bullhorn, bun, bunkbed, buoy, burrito, bus(vehicle), businesscard, butter, butterfly, button, cab(taxi), cabana, cabincar, cabinet, cake, calculator, calendar, calf, camcorder, camel, camera, cameralens, camper(vehicle), can, canopener, candle, candleholder, candybar, candycane, canister, canoe, cantaloup, canteen, cap(headwear), cape, cappuccino, car(automobile), carbattery, card, cardigan, cargoship, carnation, carrot, cart, carton, cashregister, casserole, cassette, cast, cat, cauliflower, cayenne(spice), celery, cellulartelephone, chainmail, chair, chaiselongue, chalice, chandelier, chap, checkbook, checkerboard, cherry, chessboard, chicken(animal), chickpea, chili(vegetable), chime, chinaware, chocolatebar, chocolatecake, chocolatemilk, chocolatemousse, choker, choppingboard, chopstick, cider, cigarbox, cigarette, cigarettecase, cincture, cistern, clarinet, clasp, cleansingagent, cleat(forsecuringrope), clementine, clip, clipboard, clippers(forplants), cloak, clock, clocktower, clotheshamper, clothespin, clutchbag, coaster, coat, coathanger, coatrack, cock, cockroach, cocoa(beverage), coconut, coffeemaker, coffeetable, coffeepot, coil, coin, colander, coleslaw, coloringmaterial, combinationlock, comicbook, compass, computerkeyboard, condiment, cone, control, convertible(automobile), cooker, cookie, cookingutensil, cooler(forfood), cork(bottleplug), corkboard, corkscrew, cornbread, cornet, cornice, cornmeal, corset, costume, cougar, cover, coverall, cow, cowbell, cowboyhat, crab(animal), crabmeat, cracker, crape, crate, crawfish, crayon, creampitcher, crescentroll, crib, crisp(potatochip), crockpot, crossbar, crouton, crow, crowbar, crown, crucifix, cruiseship, crumb, crutch, cub(animal), cube, cucumber, cufflink, cup, cupboard, cupcake, curlingiron, curtain, cushion, cylinder, cymbal, dagger, dalmatian, dartboard, date(fruit), deadbolt, deckchair, deer, dentalfloss, desk, detergent, diaper, diary, die, dinghy, diningtable, dirtbike, dish, dishantenna, dishrag, dishtowel, dishwasher, dishwasherdetergent, dispenser, divingboard, dog, dogcollar, doll, dollar, dollhouse, dolphin, domesticass, doorknob, doormat, doughnut, dove, dragonfly, drawer, dress, dresshat, dresssuit, dresser, drill, drone, dropper, drum(musicalinstrument), drumstick, duck, duckling, ducttape, duffelbag, dumbbell, dumpster, dustpan, eagle, earphone, earplug, earring, easel, eclair, ediblecorn, eel, egg, eggroll, eggyolk, eggbeater, eggplant, electricchair, elephant, elevatorcar, elk, envelope, eraser, escargot, eyepatch, falcon, fan, faucet, fedora, ferret, ferry, fig(fruit), fighterjet, figurine, file(tool), filecabinet, firealarm, fireengine, fireextinguisher, firehose, fireplace, fireplug, first-aidkit, fish, fish(food), fishbowl, fishingrod, flag, flagpole, flamingo, flannel, flap, flash, flashlight, fleece, flip-flop(sandal), flipper(footwear), flowerarrangement, flowerpot, fluteglass, foal, foldingchair, foodprocessor, football(American), footballhelmet, footstool, fork, forklift, freightcar, freshener, frisbee, frog, fruitjuice, fryingpan, fudge, fumehood, funnel, futon, gag, gameboard, garbage, garbagetruck, gardenhose, gargle, gargoyle, garlic, gasmask, gazelle, gelatin, gemstone, generator, giantpanda, giftwrap, ginger, giraffe, glass(drinkcontainer), globe, glove, goat, goggles, goldfish, golfclub, golfcart, gondola(boat), goose, gorilla, gourd, grape, grater, gravestone, gravyboat, greenbean, greenonion, griddle, grill, grits, grizzly, grocerybag, guitar, gull, gun, haircurler, hairdryer, hairbrush, hairnet, hairpin, haltertop, ham, hamburger, hammer, hammock, hamper, hamster, handglass, handtowel, handbag, handcart, handcuff, handkerchief, handle, handsaw, hardbackbook, harmonium, hat, hatbox, headband, headboard, headlight, headscarf, headset, headstall(forhorses), heart, heater, helicopter, helmet, heron, highchair, hinge, hippopotamus, hockeystick, hog, homeplate(baseball), honey, hook, hookah, hornet, horse, horsebuggy, horsecarriage, hose, hot-airballoon, hotsauce, hotplate, hourglass, houseboat, hummingbird, hummus, iPod, icemaker, icepack, iceskate, icecream, identitycard, igniter, inhaler, inkpad, iron(forclothing), ironingboard, jacket, jam, jar, jean, jeep, jellybean, jersey, jetplane, jewel, jewelry, joystick, jumpsuit, kayak, keg, kennel, kettle, key, keycard, kilt, kimono, kitchensink, kitchentable, kite, kitten, kiwifruit, kneepad, knife, knittingneedle, knob, knocker(onadoor), koala, labcoat, ladder, ladle, ladybug, lamb-chop, lamb(animal), lamp, lamppost, lampshade, lantern, lanyard, laptopcomputer, lasagna, latch, lawnmower, leather, legging(clothing), legume, lemon, lemonade, lettuce, licenseplate, lifebuoy, lifejacket, lightbulb, lightningrod, lime, limousine, lion, lipbalm, liquor, lizard, locker, log, lollipop, loveseat, machinegun, magazine, magnet, mailslot, mailbox(athome), mallard, mallet, mammoth, manatee, mandarinorange, manger, manhole, map, marker, martini, mascot, mashedpotato, masher, mask, mast, mat(gymequipment), matchbox, mattress, measuringcup, measuringstick, meatball, medicine, melon, microphone, microscope, microwaveoven, milestone, milk, milkcan, milkshake, minivan, mintcandy, mirror, mitten, mixer(kitchentool), money, monitor(computerequipment) computermonitor, monkey, mop, motor, motorscooter, motorvehicle, motorcycle, mound(baseball), mouse(computerequipment), mousepad, muffin, mug, mushroom, musicstool, musicalinstrument, nailfile, napkin, neckerchief, necklace, necktie, needle, nest, newspaper, newsstand, nightshirt, nosebag(foranimals), noseband(foranimals), notebook, notepad, nut, nutcracker, oar, octopus(animal), octopus(food), oillamp, oliveoil, omelet, onion, orange(fruit), orangejuice, ostrich, ottoman, oven, overalls(clothing), owl, pacifier, packet, pad, paddle, padlock, paintbrush, painting, pajamas, palette, pan(forcooking), pan(metalcontainer), pancake, pantyhose, papaya, paperplate, papertowel, paperbackbook, paperweight, parachute, parakeet, parasail(sports), parasol, parchment, parka, parkingmeter, parrot, passengercar(partofatrain), passengership, passport, pastry, patty(food), pea(food), peach, peanutbutter, pear, peeler(toolforfruitandvegetables), pegboard, pelican, pen, pencil, pencilbox, pencilsharpener, pendulum, penguin, pennant, penny(coin), pepper, peppermill, perfume, persimmon, person, pet, pew(churchbench), phonebook, phonographrecord, piano, pickle, pickuptruck, pie, pigeon, piggybank, pillow, pin(nonjewelry), pineapple, pinecone, ping-pongball, pinwheel, pipe, pipebowl, pirateflag, pistol, pita(bread), pitcher(vesselforliquid), pitchfork, pizza, placemat, plasticbag, plate, platter, playpen, pliers, plow(farmequipment), plume, pocketwatch, pocketknife, poker(firestirringtool), pokerchip, polarbear, pole, policecruiser, poloshirt, poncho, pony, pooltable, pop(soda), popsicle, postbox(public), postcard, poster, pot, potato, potholder, pottery, pouch, powershovel, prawn, pretzel, printer, projectile(weapon), projector, propeller, prune, pudding, puffer(fish), puffin, pug-dog, pumpkin, puncher, puppet, puppy, quesadilla, quiche, quilt, rabbit, racecar, racket, radar, radiator, radioreceiver, radish, raft, ragdoll, railcar(partofatrain), raincoat, ram(animal), raspberry, rat, razorblade, reamer(juicer), rearviewmirror, receipt, recliner, recordplayer, reflector, refrigerator, remotecontrol, rhinoceros, rib(food), rifle, ring, riverboat, roadmap, robe, rockingchair, rodent, rollerskate, rollingpin, rootbeer, router(computerequipment), rubberband, runner(carpet), saddle(onananimal), saddleblanket, saddlebag, safetypin, sail, salad, saladplate, salami, salmon(fish), salmon(food), salsa, saltshaker, sandal(typeofshoe), sandwich, satchel, saucepan, saucer, sausage, sawhorse, saxophone, scale(measuringinstrument), scarecrow, scarf, schoolbus, scissors, scoreboard, scraper, screwdriver, scrubbingbrush, sculpture, seabird, seahorse, seaplane, seashell, sewingmachine, shaker, shampoo, shark, sharpener, shaver(electric), shavingcream, shawl, shears, sheep, shepherddog, sherbert, shield, shirt, shoe, shoppingbag, shoppingcart, shortpants, shotglass, shoulderbag, shovel, showercap, showercurtain, showerhead, shredder(forpaper), signboard, silo, sink, skateboard, skewer, ski, skiboot, skiparka, skipole, skirt, skullcap, sled, sleepingbag, slide, sling(bandage), slipper(footwear), smoothie, snake, snowboard, snowman, snowmobile, soap, soccerball, sock, sofa, sofabed, softball, solararray, sombrero, soup, soupbowl, soupspoon, sourcream, soyamilk, spaceshuttle, sparkler(fireworks), spatula, speaker(steroequipment), spear, spectacles, spicerack, spider, sponge, spoon, sportswear, spotlight, squid(food), squirrel, stagecoach, stapler(staplingmachine), starfish, statue(sculpture), steak(food), steakknife, steeringwheel, stepstool, stepladder, stereo(soundsystem), stew, stirrer, stirrup, stool, stopsign, stove, strainer, strap, straw(fordrinking), strawberry, streetsign, streetlight, stringcheese, stylus, subwoofer, sugarbowl, sugarcane(plant), suit(clothing), suitcase, sunflower, sunglasses, sunhat, surfboard, sushi, suspenders, sweatpants, sweatband, sweater, sweatshirt, sweetpotato, swimsuit, sword, syringe, table, table-tennistable, tablelamp, tablecloth, tachometer, taco, tag, taillight, tambourine, tank(storagevessel), tanktop(clothing), tape(stickyclothorpaper), tapemeasure, tapestry, tarp, tartan, tassel, teabag, teacup, teakettle, teapot, teddybear, telephone, telephonebooth, telephonepole, telephotolens, televisioncamera, televisionset, tennisball, tennisracket, tequila, thermometer, thermosbottle, thermostat, thimble, thread, thumbtack, tiara, tiger, tights(clothing), timer, tinfoil, tinsel, tissuepaper, toast(food), toaster, toasteroven, tobaccopipe, toilet, toilettissue, tomato, tongs, toolbox, toothbrush, toothpaste, toothpick, tortilla, totebag, towtruck, towel, towelrack, toy, tractor(farmequipment), trafficlight, trailertruck, train(railroadvehicle), trampoline, trashcan, tray, trenchcoat, triangle(musicalinstrument), tricycle, tripod, trophycup, trousers, truck, truffle(chocolate), trunk, turban, turkey(food), turnip, turtle, turtleneck(clothing), tux, typewriter, umbrella, underdrawers, underwear, unicycle, urinal, urn, vacuumcleaner, vase, vat, veil, vendingmachine, vent, vest, videotape, vinegar, violin, visor, vodka, volleyball, vulture, waffle, waffleiron, wagon, wagonwheel, walkingcane, walkingstick, wallclock, wallsocket, wallet, walrus, wardrobe, washbasin, watch, waterbottle, watercooler, waterfaucet, watergun, waterheater, waterjug, waterscooter, waterski, watertower, wateringcan, watermelon, weathervane, webcam, weddingcake, weddingring, wetsuit, wheel, wheelchair, whippedcream, whistle, wig, windchime, windmill, windowbox(forplants), windshieldwiper, windsock, winebottle, winebucket, wineglass, wok, wolf, woodenleg, woodenspoon, wreath, wrench, wristband, wristlet, yacht, yogurt, yoke(animal_equipment), zebra, zucchini.

License

Released under Creative Commons Attribution 4.0. When you use this data, please credit Gupta, Dollar, Girshick (CVPR 2019).

Source and attribution

This dataset is derived from LVIS, created by Gupta, Dollar, Girshick (CVPR 2019), originally licensed cc-by-4.0. We are grateful to the original authors. If you use this data, please cite the original source above.

Citation

bibtex
@inproceedings{gupta2019lvis,
  title={LVIS: A Dataset for Large Vocabulary Instance Segmentation},
  author={Gupta, Agrim and Dollar, Piotr and Girshick, Ross},
  booktitle={CVPR},
  year={2019}
}

Published from [Pictograph](https://pictograph.io/datasets/pictograph-research/lvis-20k) - annotate, train, and deploy from one API.