Open Image to YOLO Computer Vision Project

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Classes (250)
0 Tortoise
10 Toy
100 Sock
102 Land vehicle
103 Earrings
104 Tie
105 Watercraft
106 Cabinetry
11 Organ (Musical Instrument)
110 Snack
112 Clock
118 Coat
119 Suit
120 Desk
121 Cat
122 Bronze sculpture
123 Juice
124 Gondola
126 Cannon
129 Office building
130 Fountain
133 Cocktail
134 Computer monitor
135 Box
137 Christmas tree
138 Cowboy hat
139 Hiking equipment
14 Human eye
141 Drum
144 Drink
147 Human mouth
148 Dairy Product
15 Cosmetics
153 Couch
157 Whiteboard
159 Door
16 Paddle
160 Hat
163 Fedora
166 Scarf
168 Sombrero
169 Tin can
170 Mug
171 Tap
173 Stretcher
175 Goggles
176 Human body
178 Coffee cup
18 Beer
183 Office supplies
192 Food
193 Sun hat
196 Skirt
197 Gas stove
20 Human beard
202 Fruit
205 Barrel
21 Bird
210 Flag
212 Window blind
213 Human foot
215 Jacket
217 Street light
218 Guitar
220 Human leg
223 Human ear
226 Giraffe
227 Woman
23 Traffic light
230 Bathtub
232 Houseplant
234 Baseball bat
236 Mixing bowl
238 Kitchen utensil
240 House
241 Horse
245 Sofa bed
246 Adhesive tape
248 Sandal
249 Bicycle helmet
250 Saucer
252 Human hair
256 Curtain
257 Bed
261 Drinking straw
262 Insect
268 Bookcase
274 Jaguar (Animal)
276 Fashion accessory
28 Doll
280 Table
281 Tableware
285 Bottle
289 Lighthouse
291 Human head
292 Bowl
294 Porch
297 Mammal
299 Motorcycle
300 Musical instrument
304 Bathroom cabinet
307 Man
31 Glove
311 Plate
312 Mobile phone
317 Mirror
326 Tennis ball
327 Plastic bag
329 Chest of drawers
331 Piano
332 Girl
333 Plant
336 Sports equipment
339 Pumpkin
34 Sunglasses
344 Cupboard
348 Pig
350 Rifle
351 Lipstick
352 Skateboard
354 High heels
356 Rose
358 Sculpture
360 Shotgun
363 Snowboard
365 Picture frame
366 Sushi
367 Loveseat
368 Ski
37 Ball
370 Tripod
377 Coffee table
378 Skyscraper
38 Backpack
380 Television
39 Bicycle
390 Tree
392 Train
396 Trousers
397 Bowling equipment
398 Football helmet
399 Truck
4 Football
40 Home appliance
402 Violin
403 Vehicle
404 Handbag
406 Wine
408 Wheel
42 Boat
422 Eagle
425 Duck
43 Surfboard
432 Clothing
433 Footwear
435 Spider
44 Boot
440 Wine glass
441 Countertop
443 Waste container
444 Swimming pool
445 Dog
446 Book
450 Leopard
455 Flower
458 Palm tree
459 Hamburger
461 Building
465 Furniture
467 Airplane
468 Spoon
47 Shorts
470 Bull
473 Convenience store
475 Bench
476 Ice cream
479 Parachute
48 Fast food
484 Window
486 Castle
488 Goose
489 Mule
49 Bus
493 Seat belt
496 Fork
497 Lamp
498 Camera
50 Boy
501 Human face
502 Human arm
513 Jeans
514 Flowerpot
516 Drawer
517 Stool
519 Cake
52 Bicycle wheel
522 Microwave oven
524 Marine mammal
527 Shelf
528 Watch
529 Candy
531 Parrot
534 Van
537 Light bulb
539 Sports uniform
54 Laptop
540 Tennis racket
543 Kitchen & dining room table
544 Dog bed
547 Bathroom accessory
55 Miniskirt
550 Kitchen appliance
551 Tire
554 Microphone
556 Umbrella
557 Pastry
560 Animal
566 Glasses
567 Human nose
57 Dress
570 Car
572 Human hand
579 Balance beam
583 Binoculars
589 Crown
593 Taxi
594 Canoe
600 Helmet
66 Tower
68 Person
70 Swimwear
72 Brassiere
74 Bat (Animal)
79 Balloon
81 Tent
82 Vehicle registration plate
83 Lantern
86 Billboard
87 Tiara
89 Necklace
9 Sink
90 Carnivore
92 Stairs
93 Computer keyboard
94 Printer
95 Traffic sign
96 Chair
97 Shirt
98 Poster
99 Cheese

A description for this project has not been published yet.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            open-image-to-yolo_dataset,
                            title = { Open Image to YOLO Dataset },
                            type = { Open Source Dataset },
                            author = { none },
                            howpublished = { \url{ https://universe.roboflow.com/none-v0qx7/open-image-to-yolo } },
                            url = { https://universe.roboflow.com/none-v0qx7/open-image-to-yolo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-11-23 },
                            }
                        
                    

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