Object Detection Computer Vision Project

Team Object Detection

Updated a year ago

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Classes (194)
0
AC
ADDA
ADIDAS
AirCondition
Bed Book Books Bottle Box
Brushes
Carpet
Cermin
Chair
Chandelier
Clothes
Comb
Computer
Curtains
Decorations
Doors
Drawer
Dressing
Fan Hair Dryer
Headphone
Iron
Lamp Laptop
Light Bulb Off
Light Bulb On
Lsofa Mirror NIKE
Painting
Pens Phone
Photo
Pillows/Cushions
Plant Remote Shirt Shoes
Side-Table
Slippers
Sofa
Sofa - Chair
Stand
Switch-Board
TV
Table Teddy-Bear Towel
Tv
VANS Vase Wall
Wall - Clock
Wardrobe
Water-Bottle Window
air conditioner
almirah
backpack bag basket bed
bedstand
bench
blanket
book
book shelf
books
books'
bulb
cabinet cables
carpet
chair chair' chairs
chandelier
chaor
charger
chasir chimney
christmas tree
clock closet clothes
combs
computer couch couch' cup
cupboard
cups
curat
curtains
cushion
deco'
dining table door
drawer
drawers
dustbin
eye-glasses
fan
floor mat
flower bass
flowers football
footwear
frame
fridge glasses globe guitar
hanging lights
hangings
headphone
human
ipad
keyboard lamp laptop
led
light
lrd lights
mat
mirrior mirror mouse mug
painting
painting'
pen pencil person phone
photoframe
picture
pillow
plaid
plain
plant plants
plug
purse
regulator
remote
room-objects
scenery
scissors
shawl
shelf
shelves
shoes
showpiece
smartphone socket sofa
sofa chair
sofaChair
speakers
spectacles
spfa stairs
stool
stuffed toy
suitcase switch table
table chair
table lamp
table' tablet
tap
television
tissue roll
towel
toys
tubelight
tv
unmade
vase
wall hangings
wall painting
wardrobe
washbasin
windchain
window
wooden reck
writing pad

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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{
                            object-detection-not2r_dataset,
                            title = { Object Detection  Dataset },
                            type = { Open Source Dataset },
                            author = { Team Object Detection },
                            howpublished = { \url{ https://universe.roboflow.com/team-object-detection/object-detection-not2r } },
                            url = { https://universe.roboflow.com/team-object-detection/object-detection-not2r },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-21 },
                            }