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AI sense (ML-assisted labeling)
Overview: Labels are generated automatically based on the image, this is also known as pre-labeling.
Steps for using AI Sense: 1.Go to the Editor Page and Click on the AI Sense button from the right side menu. 2.Click on Auto Detect. 3.Click on Preview to view the labels or Add All to add the labels. 4.Users can add individual labels or use Confidence Score to detect labels. 5.Make sure the category is given before using AI Sense.
Categories supported for AI Sense: Single Frame Detection categories:(2D Bounding Boxes)
    1.
    person: A person walking in the scene (usually on sidewalks, crosswalks, outside driveable space)
    2.
    bicycle: Human or electric-powered 2-wheeled vehicle designed to travel at lower speeds either on the edge of the road surface, sidewalks, or bike paths. A driving bicycle is also considered a bicycle. .
    3.
    car: All Sedan, Suv, minivans, sports cars are marked as cars
    4.
    motorcycle: Gasoline or electric powered 2-wheeled vehicle designed to move rapidly (at the speed of standard cars) on the road surface.
    5.
    airplane
    6.
    bus: A road vehicle designed to carry many passengers.
    7.
    train
    8.
    truck: Motor vehicles designed to transport cargo, goods, merchandise, and a wide variety of objects.
    9.
    boat
    10.
    traffic light: A road signal for directing vehicular traffic by means of coloured lights, typically red for stop, green for go, and yellow for proceeding with caution.
    11.
    fire hydrant: a fitting in a street or other public place with a nozzle by which a fire hose may be attached to the water main.
    12.
    stop sign: A stop sign is a traffic sign designed to notify drivers that they must come to a complete stop
    13.
    parking meter
    14.
    bench
    15.
    bird
    16.
    cat
    17.
    dog
    18.
    horse
    19.
    sheep
    20.
    cow
    21.
    elephant
    22.
    bear
    23.
    zebra
    24.
    giraffe
    25.
    backpack
    26.
    umbrella
    27.
    handbag
    28.
    tie
    29.
    suitcase
    30.
    frisbee
    31.
    skis
    32.
    snowboard
    33.
    sports ball
    34.
    kite
    35.
    baseball bat
    36.
    baseball glove
    37.
    skateboard
    38.
    surfboard
    39.
    tennis racket
    40.
    bottle
    41.
    wine glass
    42.
    cup
    43.
    fork
    44.
    knife
    45.
    spoon
    46.
    bowl
    47.
    banana
    48.
    apple
    49.
    sandwich
    50.
    orange
    51.
    broccoli
    52.
    carrot
    53.
    hot dog
    54.
    pizza
    55.
    donut
    56.
    cake
    57.
    chair
    58.
    couch
    59.
    potted plant
    60.
    bed
    61.
    dining table
    62.
    toilet
    63.
    tv
    64.
    laptop
    65.
    mouse
    66.
    remote
    67.
    keyboard
    68.
    cell phone
    69.
    microwave
    70.
    oven
    71.
    toaster
    72.
    sink
    73.
    refrigerator
    74.
    book
    75.
    clock
    76.
    vase
    77.
    scissors
    78.
    teddy bear
    79.
    hair drier
    80.
    toothbrush
Sequence tracking model categories:(2D Bounding Boxes)
    1.
    car
    2.
    truck
    3.
    person
    4.
    bus
    5.
    bike
    6.
    rider: A person is driving a bicycle or motorcycle is considered as rider
    7.
    motor
    8.
    train
Categories for 3d Bounding box (Sequence and Single Frame):
    1.
    Vehicle: All Sedan, Suv, minivans, sports cars are marked as cars
2. Pedestrian: A person walking in the scene(usually on sidewalks, crosswalks, outside driveable space)
3. Cyclist: A Person who is riding a Cycle
Last modified 6mo ago
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