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autoTest Computer Vision Project

TestV301

Updated 5 months ago

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Tags
Instance Segmentation Model roboflow-3-n-seg
Classes (77)
APP_Appliance_Clean
APP_Appliance_Repair
APP_Appliance_Replace
Accent Chairs
Balcony door
Balcony long window
Bathtub
Battery Beds
Bookshelves
CAB_Cabinetry_Clean
CAB_Cabinetry_Repair
CAB_Cabinetry_Replace
Ceiling
Chandelier
Coffee Tables
DOR_Doors_Clean
DOR_Doors_Damage
DOR_Doors_Repair
DOR_Doors_Replace
DRY_Drywall_Clean
DRY_Drywall_Repair
DRY_Drywall_Replace
Desk Chairs
Desks
Dining Chairs
Dining Tables Door
Electrical panel
FCC_Floor_Covering_Carpet_Clean
FCC_Floor_Covering_Carpet_Repair
FCC_Floor_Covering_Carpet_Replace
FCS_Floor_Covering_Stone_Clean
FCS_Floor_Covering_Stone_Repair
FCS_Floor_Covering_Stone_Replace
FCW_Floor_Covering_Wood_Clean
FCW_Floor_Covering_Wood_Repair
FCW_Floor_Covering_Wood_Replace
FNC_FINISH_Carpentry_FNC_Clean
FNC_FINISH_Carpentry_FNC_Mold
FNC_FINISH_Carpentry_FNC_Repair
Fire alarm
Good Socket
Gutters
Laminatte
Light switch
Nightstands
PLM_Plumbing_Clean
PLM_Plumbing_Repair
PLM_Plumbing_Replace
Plate Sink Toilet
Unfinished socket
Wall tile
Wallpaper
Window
Windowsill
bare_ceiling
bare_wall
building_stuff
bulb
floor
floor_not_screed
floor_screed
gas_blocks
grilyato
junk
mould
notfloor
painted_wall
pipes
plastered_walls
rough_ceiling
sticking_wires
tile
unfinished_door

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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{
                            autotest-9hdxo_dataset,
                            title = { autoTest Dataset },
                            type = { Open Source Dataset },
                            author = { TestV301 },
                            howpublished = { \url{ https://universe.roboflow.com/testv301/autotest-9hdxo } },
                            url = { https://universe.roboflow.com/testv301/autotest-9hdxo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-11-25 },
                            }

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