Yolo detection project Computer Vision Project

Image Peoccessing project

Updated 2 years ago

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Classes (203)
Bottle of water
Earphones
Eyeglasses
Game Grapes
Green beans
Load Bearing
Onions
Peanuts
Piece of chicks
Pillar
Salt bottle
Signboard
Stick Camera
TV
Toothbrush Traffic Sign airplane
antigue
antique
apple bag ball ballon banana baseball bat bear bed
bed net
beet
big bottle
bigbin
bike bird
biscuit
boat book books bottle box
bracelet
bread bridge
broom
bucket
bus cake camera candle canz cap caple car carrot castle cat chair
chandeliers
chipsy
clothes
colors
computer
conditioner
conditioning
cooker
coral couch
cover
cow crane cup
curtain
dish dog
dog carriage
donate
dooe door
electric tower
elephant fence fish flower food foot football fork fridge fruits
fur
garage garbage giraffe glass glasses glove goat handbag helmet
herb
hipsy
hourse hous house
ice
ice mountain
jacket
jam
keyboard kitchen kite knife lamb
lampshades
land lap top
manyhouse
metro
microwave mirror mobile phone monitor motorcycle mountain mouse
napkin
neck tie
necklace
niche
orange palm paper
parashot
peace peach
peeler
pens person phone
photoholder
picture
pillow pizza plane
playground
pomegranate potato printer
prokle
remote control
rice ring rock salad sand scissors
screen
sea
sheep ship shoes
shower
skate
skateboards
skoter
sound device
sounddamper
spoon stapler
statue
stop sign stove
string
sun
sunglasses surfboard
sutter sign
table
tap
taxi teble tennis racket tire
toilette
towel
toy
traffic signal train tree
tree leafs
tub
umbrella
unknown
vase
washing bowl
watch water
waves
window
wipes
wire zebra zibra

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-detection-project_dataset,
                            title = { Yolo detection project Dataset },
                            type = { Open Source Dataset },
                            author = { Image Peoccessing project },
                            howpublished = { \url{ https://universe.roboflow.com/image-peoccessing-project/yolo-detection-project } },
                            url = { https://universe.roboflow.com/image-peoccessing-project/yolo-detection-project },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-11-02 },
                            }