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, and 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 driving a bicycle or motorcycle is considered as the rider
- 7.motor
- 8.train
Categories for 3d Bounding box (Sequence and Single Frame):
- 1.vehicle: All Sedan, Suv, minivans, and 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