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