yolo_train Computer Vision Project

yolo

Updated 19 days ago

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Classes (200)
adapter
apple bag ball banana band
bangle
basket bed
bed-lamp
bedsheet
black-box
black-object
blanket
book books bottle
bottle-cap
bottle-water
bowl box
box-lid
bracelet
bread
bread-slice
brush
button cable cap card
carpet
carton-box
chair
charger
cheese-piece
chopping-board
cloth coin
comb
container
cot
cover
cucumber cup
cupboard
curtains
cushion
door
door-handle
dress egg
egg-shell
egg-tray
egg-white-yolk
fan
flip-flop
floor fork
frame
fridge fruit glass
glass--water
hairdryer
hairdryer-button
hand hand-bag
hand-band
handle hanger
hoodie
iron
jacket
jar
jug
kettle
key
knife
knob
lace lamp laptop lemon
letter-a
letter-b
letter-c
letter-d
letter-e
letter-f
letter-g
letter-h
letter-i
letter-j
letter-k
letter-l
letter-m
letter-n
letter-o
letter-p
letter-q
letter-r
letter-s
letter-t
letter-u
letter-v
letter-w
letter-x
letter-y
letter-z
lettuce-leaves
lid
machine
marker
mat
meat-slice
mobile-phone
money-bill
mouse mug
oil--flow
oil-bottle
onion orange oven packet
pan
pants
paper
paper-piece
pen
pen-cap
pencil person pillow pipe plate
plug
pot
potted-plant
purse
rack refrigerator
remote-control
ring
rod
salad
salt
salt-bottle
salt-flow
sandwich scissors sheet shirt shoe
shoe-lace
shoes shorts
slipper
sock socket
socks
sofa speakers
spectacles
spoon stand
sticker
stool
stove
sweater
switch
switch-board
table
table-cloth
table-fan
tape
tea-bag
television
thread
tissue-roll
tomato
tomato-piece
tomato-pieces
top
toy
toy-car
tray tshirt
underwear
vegetable-leaf
wallet
wardrobe
watch
water--flow
water-bottle
white-box
white-cloth
white-object
window wire

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{
                            yolo_train-ejpoz_dataset,
                            title = { yolo_train Dataset },
                            type = { Open Source Dataset },
                            author = { yolo },
                            howpublished = { \url{ https://universe.roboflow.com/yolo-quelr/yolo_train-ejpoz } },
                            url = { https://universe.roboflow.com/yolo-quelr/yolo_train-ejpoz },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { oct },
                            note = { visited on 2024-11-17 },
                            }
                        
                    

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