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path: ../datasets/open-images-v7
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train: images/train
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val: images/val
|
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test:
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names:
|
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0: Accordion
|
|
1: Adhesive tape
|
|
2: Aircraft
|
|
3: Airplane
|
|
4: Alarm clock
|
|
5: Alpaca
|
|
6: Ambulance
|
|
7: Animal
|
|
8: Ant
|
|
9: Antelope
|
|
10: Apple
|
|
11: Armadillo
|
|
12: Artichoke
|
|
13: Auto part
|
|
14: Axe
|
|
15: Backpack
|
|
16: Bagel
|
|
17: Baked goods
|
|
18: Balance beam
|
|
19: Ball
|
|
20: Balloon
|
|
21: Banana
|
|
22: Band-aid
|
|
23: Banjo
|
|
24: Barge
|
|
25: Barrel
|
|
26: Baseball bat
|
|
27: Baseball glove
|
|
28: Bat (Animal)
|
|
29: Bathroom accessory
|
|
30: Bathroom cabinet
|
|
31: Bathtub
|
|
32: Beaker
|
|
33: Bear
|
|
34: Bed
|
|
35: Bee
|
|
36: Beehive
|
|
37: Beer
|
|
38: Beetle
|
|
39: Bell pepper
|
|
40: Belt
|
|
41: Bench
|
|
42: Bicycle
|
|
43: Bicycle helmet
|
|
44: Bicycle wheel
|
|
45: Bidet
|
|
46: Billboard
|
|
47: Billiard table
|
|
48: Binoculars
|
|
49: Bird
|
|
50: Blender
|
|
51: Blue jay
|
|
52: Boat
|
|
53: Bomb
|
|
54: Book
|
|
55: Bookcase
|
|
56: Boot
|
|
57: Bottle
|
|
58: Bottle opener
|
|
59: Bow and arrow
|
|
60: Bowl
|
|
61: Bowling equipment
|
|
62: Box
|
|
63: Boy
|
|
64: Brassiere
|
|
65: Bread
|
|
66: Briefcase
|
|
67: Broccoli
|
|
68: Bronze sculpture
|
|
69: Brown bear
|
|
70: Building
|
|
71: Bull
|
|
72: Burrito
|
|
73: Bus
|
|
74: Bust
|
|
75: Butterfly
|
|
76: Cabbage
|
|
77: Cabinetry
|
|
78: Cake
|
|
79: Cake stand
|
|
80: Calculator
|
|
81: Camel
|
|
82: Camera
|
|
83: Can opener
|
|
84: Canary
|
|
85: Candle
|
|
86: Candy
|
|
87: Cannon
|
|
88: Canoe
|
|
89: Cantaloupe
|
|
90: Car
|
|
91: Carnivore
|
|
92: Carrot
|
|
93: Cart
|
|
94: Cassette deck
|
|
95: Castle
|
|
96: Cat
|
|
97: Cat furniture
|
|
98: Caterpillar
|
|
99: Cattle
|
|
100: Ceiling fan
|
|
101: Cello
|
|
102: Centipede
|
|
103: Chainsaw
|
|
104: Chair
|
|
105: Cheese
|
|
106: Cheetah
|
|
107: Chest of drawers
|
|
108: Chicken
|
|
109: Chime
|
|
110: Chisel
|
|
111: Chopsticks
|
|
112: Christmas tree
|
|
113: Clock
|
|
114: Closet
|
|
115: Clothing
|
|
116: Coat
|
|
117: Cocktail
|
|
118: Cocktail shaker
|
|
119: Coconut
|
|
120: Coffee
|
|
121: Coffee cup
|
|
122: Coffee table
|
|
123: Coffeemaker
|
|
124: Coin
|
|
125: Common fig
|
|
126: Common sunflower
|
|
127: Computer keyboard
|
|
128: Computer monitor
|
|
129: Computer mouse
|
|
130: Container
|
|
131: Convenience store
|
|
132: Cookie
|
|
133: Cooking spray
|
|
134: Corded phone
|
|
135: Cosmetics
|
|
136: Couch
|
|
137: Countertop
|
|
138: Cowboy hat
|
|
139: Crab
|
|
140: Cream
|
|
141: Cricket ball
|
|
142: Crocodile
|
|
143: Croissant
|
|
144: Crown
|
|
145: Crutch
|
|
146: Cucumber
|
|
147: Cupboard
|
|
148: Curtain
|
|
149: Cutting board
|
|
150: Dagger
|
|
151: Dairy Product
|
|
152: Deer
|
|
153: Desk
|
|
154: Dessert
|
|
155: Diaper
|
|
156: Dice
|
|
157: Digital clock
|
|
158: Dinosaur
|
|
159: Dishwasher
|
|
160: Dog
|
|
161: Dog bed
|
|
162: Doll
|
|
163: Dolphin
|
|
164: Door
|
|
165: Door handle
|
|
166: Doughnut
|
|
167: Dragonfly
|
|
168: Drawer
|
|
169: Dress
|
|
170: Drill (Tool)
|
|
171: Drink
|
|
172: Drinking straw
|
|
173: Drum
|
|
174: Duck
|
|
175: Dumbbell
|
|
176: Eagle
|
|
177: Earrings
|
|
178: Egg (Food)
|
|
179: Elephant
|
|
180: Envelope
|
|
181: Eraser
|
|
182: Face powder
|
|
183: Facial tissue holder
|
|
184: Falcon
|
|
185: Fashion accessory
|
|
186: Fast food
|
|
187: Fax
|
|
188: Fedora
|
|
189: Filing cabinet
|
|
190: Fire hydrant
|
|
191: Fireplace
|
|
192: Fish
|
|
193: Flag
|
|
194: Flashlight
|
|
195: Flower
|
|
196: Flowerpot
|
|
197: Flute
|
|
198: Flying disc
|
|
199: Food
|
|
200: Food processor
|
|
201: Football
|
|
202: Football helmet
|
|
203: Footwear
|
|
204: Fork
|
|
205: Fountain
|
|
206: Fox
|
|
207: French fries
|
|
208: French horn
|
|
209: Frog
|
|
210: Fruit
|
|
211: Frying pan
|
|
212: Furniture
|
|
213: Garden Asparagus
|
|
214: Gas stove
|
|
215: Giraffe
|
|
216: Girl
|
|
217: Glasses
|
|
218: Glove
|
|
219: Goat
|
|
220: Goggles
|
|
221: Goldfish
|
|
222: Golf ball
|
|
223: Golf cart
|
|
224: Gondola
|
|
225: Goose
|
|
226: Grape
|
|
227: Grapefruit
|
|
228: Grinder
|
|
229: Guacamole
|
|
230: Guitar
|
|
231: Hair dryer
|
|
232: Hair spray
|
|
233: Hamburger
|
|
234: Hammer
|
|
235: Hamster
|
|
236: Hand dryer
|
|
237: Handbag
|
|
238: Handgun
|
|
239: Harbor seal
|
|
240: Harmonica
|
|
241: Harp
|
|
242: Harpsichord
|
|
243: Hat
|
|
244: Headphones
|
|
245: Heater
|
|
246: Hedgehog
|
|
247: Helicopter
|
|
248: Helmet
|
|
249: High heels
|
|
250: Hiking equipment
|
|
251: Hippopotamus
|
|
252: Home appliance
|
|
253: Honeycomb
|
|
254: Horizontal bar
|
|
255: Horse
|
|
256: Hot dog
|
|
257: House
|
|
258: Houseplant
|
|
259: Human arm
|
|
260: Human beard
|
|
261: Human body
|
|
262: Human ear
|
|
263: Human eye
|
|
264: Human face
|
|
265: Human foot
|
|
266: Human hair
|
|
267: Human hand
|
|
268: Human head
|
|
269: Human leg
|
|
270: Human mouth
|
|
271: Human nose
|
|
272: Humidifier
|
|
273: Ice cream
|
|
274: Indoor rower
|
|
275: Infant bed
|
|
276: Insect
|
|
277: Invertebrate
|
|
278: Ipod
|
|
279: Isopod
|
|
280: Jacket
|
|
281: Jacuzzi
|
|
282: Jaguar (Animal)
|
|
283: Jeans
|
|
284: Jellyfish
|
|
285: Jet ski
|
|
286: Jug
|
|
287: Juice
|
|
288: Kangaroo
|
|
289: Kettle
|
|
290: Kitchen & dining room table
|
|
291: Kitchen appliance
|
|
292: Kitchen knife
|
|
293: Kitchen utensil
|
|
294: Kitchenware
|
|
295: Kite
|
|
296: Knife
|
|
297: Koala
|
|
298: Ladder
|
|
299: Ladle
|
|
300: Ladybug
|
|
301: Lamp
|
|
302: Land vehicle
|
|
303: Lantern
|
|
304: Laptop
|
|
305: Lavender (Plant)
|
|
306: Lemon
|
|
307: Leopard
|
|
308: Light bulb
|
|
309: Light switch
|
|
310: Lighthouse
|
|
311: Lily
|
|
312: Limousine
|
|
313: Lion
|
|
314: Lipstick
|
|
315: Lizard
|
|
316: Lobster
|
|
317: Loveseat
|
|
318: Luggage and bags
|
|
319: Lynx
|
|
320: Magpie
|
|
321: Mammal
|
|
322: Man
|
|
323: Mango
|
|
324: Maple
|
|
325: Maracas
|
|
326: Marine invertebrates
|
|
327: Marine mammal
|
|
328: Measuring cup
|
|
329: Mechanical fan
|
|
330: Medical equipment
|
|
331: Microphone
|
|
332: Microwave oven
|
|
333: Milk
|
|
334: Miniskirt
|
|
335: Mirror
|
|
336: Missile
|
|
337: Mixer
|
|
338: Mixing bowl
|
|
339: Mobile phone
|
|
340: Monkey
|
|
341: Moths and butterflies
|
|
342: Motorcycle
|
|
343: Mouse
|
|
344: Muffin
|
|
345: Mug
|
|
346: Mule
|
|
347: Mushroom
|
|
348: Musical instrument
|
|
349: Musical keyboard
|
|
350: Nail (Construction)
|
|
351: Necklace
|
|
352: Nightstand
|
|
353: Oboe
|
|
354: Office building
|
|
355: Office supplies
|
|
356: Orange
|
|
357: Organ (Musical Instrument)
|
|
358: Ostrich
|
|
359: Otter
|
|
360: Oven
|
|
361: Owl
|
|
362: Oyster
|
|
363: Paddle
|
|
364: Palm tree
|
|
365: Pancake
|
|
366: Panda
|
|
367: Paper cutter
|
|
368: Paper towel
|
|
369: Parachute
|
|
370: Parking meter
|
|
371: Parrot
|
|
372: Pasta
|
|
373: Pastry
|
|
374: Peach
|
|
375: Pear
|
|
376: Pen
|
|
377: Pencil case
|
|
378: Pencil sharpener
|
|
379: Penguin
|
|
380: Perfume
|
|
381: Person
|
|
382: Personal care
|
|
383: Personal flotation device
|
|
384: Piano
|
|
385: Picnic basket
|
|
386: Picture frame
|
|
387: Pig
|
|
388: Pillow
|
|
389: Pineapple
|
|
390: Pitcher (Container)
|
|
391: Pizza
|
|
392: Pizza cutter
|
|
393: Plant
|
|
394: Plastic bag
|
|
395: Plate
|
|
396: Platter
|
|
397: Plumbing fixture
|
|
398: Polar bear
|
|
399: Pomegranate
|
|
400: Popcorn
|
|
401: Porch
|
|
402: Porcupine
|
|
403: Poster
|
|
404: Potato
|
|
405: Power plugs and sockets
|
|
406: Pressure cooker
|
|
407: Pretzel
|
|
408: Printer
|
|
409: Pumpkin
|
|
410: Punching bag
|
|
411: Rabbit
|
|
412: Raccoon
|
|
413: Racket
|
|
414: Radish
|
|
415: Ratchet (Device)
|
|
416: Raven
|
|
417: Rays and skates
|
|
418: Red panda
|
|
419: Refrigerator
|
|
420: Remote control
|
|
421: Reptile
|
|
422: Rhinoceros
|
|
423: Rifle
|
|
424: Ring binder
|
|
425: Rocket
|
|
426: Roller skates
|
|
427: Rose
|
|
428: Rugby ball
|
|
429: Ruler
|
|
430: Salad
|
|
431: Salt and pepper shakers
|
|
432: Sandal
|
|
433: Sandwich
|
|
434: Saucer
|
|
435: Saxophone
|
|
436: Scale
|
|
437: Scarf
|
|
438: Scissors
|
|
439: Scoreboard
|
|
440: Scorpion
|
|
441: Screwdriver
|
|
442: Sculpture
|
|
443: Sea lion
|
|
444: Sea turtle
|
|
445: Seafood
|
|
446: Seahorse
|
|
447: Seat belt
|
|
448: Segway
|
|
449: Serving tray
|
|
450: Sewing machine
|
|
451: Shark
|
|
452: Sheep
|
|
453: Shelf
|
|
454: Shellfish
|
|
455: Shirt
|
|
456: Shorts
|
|
457: Shotgun
|
|
458: Shower
|
|
459: Shrimp
|
|
460: Sink
|
|
461: Skateboard
|
|
462: Ski
|
|
463: Skirt
|
|
464: Skull
|
|
465: Skunk
|
|
466: Skyscraper
|
|
467: Slow cooker
|
|
468: Snack
|
|
469: Snail
|
|
470: Snake
|
|
471: Snowboard
|
|
472: Snowman
|
|
473: Snowmobile
|
|
474: Snowplow
|
|
475: Soap dispenser
|
|
476: Sock
|
|
477: Sofa bed
|
|
478: Sombrero
|
|
479: Sparrow
|
|
480: Spatula
|
|
481: Spice rack
|
|
482: Spider
|
|
483: Spoon
|
|
484: Sports equipment
|
|
485: Sports uniform
|
|
486: Squash (Plant)
|
|
487: Squid
|
|
488: Squirrel
|
|
489: Stairs
|
|
490: Stapler
|
|
491: Starfish
|
|
492: Stationary bicycle
|
|
493: Stethoscope
|
|
494: Stool
|
|
495: Stop sign
|
|
496: Strawberry
|
|
497: Street light
|
|
498: Stretcher
|
|
499: Studio couch
|
|
500: Submarine
|
|
501: Submarine sandwich
|
|
502: Suit
|
|
503: Suitcase
|
|
504: Sun hat
|
|
505: Sunglasses
|
|
506: Surfboard
|
|
507: Sushi
|
|
508: Swan
|
|
509: Swim cap
|
|
510: Swimming pool
|
|
511: Swimwear
|
|
512: Sword
|
|
513: Syringe
|
|
514: Table
|
|
515: Table tennis racket
|
|
516: Tablet computer
|
|
517: Tableware
|
|
518: Taco
|
|
519: Tank
|
|
520: Tap
|
|
521: Tart
|
|
522: Taxi
|
|
523: Tea
|
|
524: Teapot
|
|
525: Teddy bear
|
|
526: Telephone
|
|
527: Television
|
|
528: Tennis ball
|
|
529: Tennis racket
|
|
530: Tent
|
|
531: Tiara
|
|
532: Tick
|
|
533: Tie
|
|
534: Tiger
|
|
535: Tin can
|
|
536: Tire
|
|
537: Toaster
|
|
538: Toilet
|
|
539: Toilet paper
|
|
540: Tomato
|
|
541: Tool
|
|
542: Toothbrush
|
|
543: Torch
|
|
544: Tortoise
|
|
545: Towel
|
|
546: Tower
|
|
547: Toy
|
|
548: Traffic light
|
|
549: Traffic sign
|
|
550: Train
|
|
551: Training bench
|
|
552: Treadmill
|
|
553: Tree
|
|
554: Tree house
|
|
555: Tripod
|
|
556: Trombone
|
|
557: Trousers
|
|
558: Truck
|
|
559: Trumpet
|
|
560: Turkey
|
|
561: Turtle
|
|
562: Umbrella
|
|
563: Unicycle
|
|
564: Van
|
|
565: Vase
|
|
566: Vegetable
|
|
567: Vehicle
|
|
568: Vehicle registration plate
|
|
569: Violin
|
|
570: Volleyball (Ball)
|
|
571: Waffle
|
|
572: Waffle iron
|
|
573: Wall clock
|
|
574: Wardrobe
|
|
575: Washing machine
|
|
576: Waste container
|
|
577: Watch
|
|
578: Watercraft
|
|
579: Watermelon
|
|
580: Weapon
|
|
581: Whale
|
|
582: Wheel
|
|
583: Wheelchair
|
|
584: Whisk
|
|
585: Whiteboard
|
|
586: Willow
|
|
587: Window
|
|
588: Window blind
|
|
589: Wine
|
|
590: Wine glass
|
|
591: Wine rack
|
|
592: Winter melon
|
|
593: Wok
|
|
594: Woman
|
|
595: Wood-burning stove
|
|
596: Woodpecker
|
|
597: Worm
|
|
598: Wrench
|
|
599: Zebra
|
|
600: Zucchini
|
|
|
|
|
|
download: |
|
|
from ultralytics.utils import LOGGER, SETTINGS, Path, is_ubuntu, get_ubuntu_version
|
|
from ultralytics.utils.checks import check_requirements, check_version
|
|
|
|
check_requirements('fiftyone')
|
|
if is_ubuntu() and check_version(get_ubuntu_version(), '>=22.04'):
|
|
|
|
check_requirements('fiftyone-db-ubuntu2204')
|
|
|
|
import fiftyone as fo
|
|
import fiftyone.zoo as foz
|
|
import warnings
|
|
|
|
name = 'open-images-v7'
|
|
fraction = 1.0
|
|
LOGGER.warning('WARNING ⚠️ Open Images V7 dataset requires at least **561 GB of free space. Starting download...')
|
|
for split in 'train', 'validation':
|
|
train = split == 'train'
|
|
|
|
|
|
dataset = foz.load_zoo_dataset(name,
|
|
split=split,
|
|
label_types=['detections'],
|
|
dataset_dir=Path(SETTINGS['datasets_dir']) / 'fiftyone' / name,
|
|
max_samples=round((1743042 if train else 41620) * fraction))
|
|
|
|
|
|
if train:
|
|
classes = dataset.default_classes
|
|
|
|
|
|
|
|
with warnings.catch_warnings():
|
|
warnings.filterwarnings("ignore", category=UserWarning, module="fiftyone.utils.yolo")
|
|
dataset.export(export_dir=str(Path(SETTINGS['datasets_dir']) / name),
|
|
dataset_type=fo.types.YOLOv5Dataset,
|
|
label_field='ground_truth',
|
|
split='val' if split == 'validation' else split,
|
|
classes=classes,
|
|
overwrite=train)
|
|
|
