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Crosscheck #5_NSSIS Specifications

Quiz by Refresher Quality

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15 questions
Show answers
  • Q1

    Pedestrians, vehicles, bicycles, and general objects will all be considered as objects for this project. 

    true
    false
    True or False
    30s
  • Q2

    How many classes for instances are in this project?

    126

    123

    121

    5

    30s
  • Q3

    A host vehicle will be considered an object in this project. 

    false
    true
    True or False
    30s
  • Q4

    A frame that has a banner at the top saying 'Must annotate all relevant' means

    Question Image

    There are editable pixels that hasn't been tagged

    All of the choices are incorrect

    All editable pixels has been tagged

    This is not the correct frame

    30s
  • Q5

    When you see a cluster of pixels, and you can determine that there is definitely more than one object in the cluster, What would be the correct tag for it?

    Irrelevant

    Relevant

    Ignore

    Can't separate

    30s
  • Q6

    This class MUST NOT be used. There is currently no need for this class. 

    Irrelevant

    Ignore

    Can't separate

    No available classes

    30s
  • Q7

    If the accuracy error is LESS than approximately 5-7 pixels wide, the irrelevant pixels MUST be fixed

    false
    true
    True or False
    30s
  • Q8

    If the accuracy error is MORE than approximately 5-7 pixels wide, the irrelevant pixels MUST be fixed

    true
    false
    True or False
    30s
  • Q9

    What tool do we use to remove all the Read Only pixels and display only the editable pixels

    Mouse Wheel

    Shift + S

    Alt + P

    Shift + R

    30s
  • Q10

    All objects will be classified as "irrelevant"

    false
    true
    True or False
    30s
  • Q11

    NSSIS stands for ? 

    Network Surface Segmentation Instances Segmentation

    Network Surface Segmentation Instance Segmentation

    Network Surface Segmentation Highest level

    Network Surface Segmentation High level

    30s
  • Q12

    What shortcut keys we use to find 'cant_separate' class

    Shift+R

    Shift+I

    Shift+S

    Shift+X

    30s
  • Q13

    What shortcut keys we use to find 'relevant' class

    Shift+X

    Shift+S

    Shift+R

    Shift+I

    30s
  • Q14

    In this case, we have to fix excess pixels as what?

    Can't separate

    Ignore

    Irrelevant

    Relevant

    30s
  • Q15

    You will only begin to re-classify from the pixel that you are 100% sure is no longer the relevant pixel.

    true
    false
    True or False
    30s

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