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Moogle Fallback Refresher - July week#4

Quiz by Jane Oliveros

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15 questions
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  • Q1

    Is this marking correct?

    Question Image

    No, the facing of the object is in the wrong direction.

    No, the size of the cuboid is inaccurate.

    Yes, a 10% accuracy tolerance is shown in the object.

    No, it should be tagged as a ppmv.

    30s
  • Q2

    Is this marking incorrect?

    Question Image

    No, cuboids with verified=yes attributes should be tagged accurately.

    No, cuboids with 10% inaccuracies considered minor are still acceptable.

    Yes, cuboids with verified=yes attributes should be tagged accurately.

    Yes, cuboids with 10% inaccuracies considered minor are not acceptable.

    30s
  • Q3

    What should be the correct label for this object?

    Question Image
    Users enter free text
    Type an Answer
    30s
  • Q4

    Is this marking incorrect?

    Question Image

    No, bicycles that are tied with another object should be tagged as ignore.

    Yes, it should be tagged as an empty bike.

    Yes, it should be tagged separately.

    No, bicycles that are tied with another object should be tagged separately.

    30s
  • Q5

    When tagging verified=no object it should be as accurate as the same figure of the object. Is this marking correct?

    Question Image

    Yes, the size of the cuboid is the same as the object.

    No, the facing of the object is in the wrong direction.

    Yes, the facing of the object is in the correct direction.

    No, the size of the cuboid is too big for the object.

    30s
  • Q6

    In case you have the  lidar points for an object covering only two dimensions, you have no data on the object’s  third dimension, you should annotate the object as “False” with the attribute “_______________________”

    Users enter free text
    Type an Answer
    30s
  • Q7

    Which of the following is accepted with 10% tolerance inaccuracy?

    Answer Image
    Answer Image
    Answer Image
    Answer Image
    30s
  • Q8

    In the Self-checking method, when checking in the camera view you must focus on relevant objects that can be seen in the camera. What issue can you see in the image below?

    Question Image

    All of the above.

    Missed tag of an object.

    Accuracy of the selected object.

    Wrong Label of the selected cuboid.

    30s
  • Q9

    Some of the object has drift points and must exclude that in the cuboid. What is wrong with the image below?

    Question Image

    The verified attribute should be set to 'yes'.

    The accuracy issue of the cuboid must include the drift points.

    The bike and rider should remain as one cuboid and the echo points attribute should be set to 'no'.

    The bike should be separate from its rider, and the echo points attribute should be set to 'yes'.

    30s
  • Q10

    Bicycles that are parked near other bicycles or tied to another object should be tagged as what label?

    Question Image
    Users enter free text
    Type an Answer
    30s
  • Q11

    What should be the correct LABEL for this object if it has a pre-labeled cuboid?

    Question Image
    Users enter free text
    Type an Answer
    30s
  • Q12

    In case of Pedestrians, the heading will be set according to general direction of the body, even the head/face of the Pedestrian looking in different direction.

    true
    false
    True or False
    30s
  • Q13

    If a system result cuboid does not require any accuracy adjustments, and the only change required is to set the cuboid as static instead of dynamic, please label the cuboid as verified = '____'

    Users enter free text
    Type an Answer
    30s
  • Q14

    In the intersection scenarios, in any case, the annotator receives a pre-labeled object of a vehicle that didn't move throughout the task, and the system predicts it as stationary, you will just leave it as it is.

    true
    false
    True or False
    30s
  • Q15

    In the intersection/traffic scenarios, in any case, the annotator receives a pre-labeled object of a vehicle and it didn't move throughout the task, you will tag it as dynamic only in frames that have 30 or more lidar points.

    false
    true
    True or False
    30s

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