
Quality Checker Examination
Quiz by Jea Bañadera
Tag the questions with any skills you have. Your dashboard will track each student's mastery of each skill.
have a permanent position in the clip, meaning they do not move at all.They exist in every frame of the clip
Have a different position in every frame of the clip. They exist only between the first 'key frame' and the last.Key frame is a frame where the annotator or the system set the position of the cuboid.
The purpose of this project is to improve the detection abilities of____________?
You will receive clips that include both ___________cloud and 2D camera data, and will be required to make amends to certain systemdetected objects.
How many Label do we have on MoogleFallback?
How many False type do we have on MoogleFallback?
How many cuboid do we use for this image below?

In the Lidarlite map, where can you see and access the accuracy of the selected cuboid from 3 different point of view?
A ___________ is a 3D tag used in ScaleAI platform to annotate object. It can be Pre-labeled and manually created. It has an ID and each object should have it's own unique ID throughout its life. It also can get a 'Label' that define the object inside them.
In the Tagging and Checking method, to make sure that all the warning errors in all frames are fixed, you must check and run the ___________________.
A single object must be annotated with one cuboid throughout its life. If the system detects a single object with 2 different IDs, the annotators are required to do what?
Any missing object with 30-40 lidar points must be marked. Missing objects with less points should also be marked.
You can press the ___________ Icon to access all the cuboids in all frames.
If you see a missed tag in the camera view press “____" or just click the small circle in camera to focus the lidar view in 3D view and the lidar view goes to where your camera is viewing
Also when checking the cuboid coloring by Label in camera view you must also check it in Lidar view and always in ____ view not in top view
After playing and checking the task in all camera and lidar view, you will check not only the verified=no cuboids but all the annotations in the task one by one
When the reviewer receive a task, check first the -_________ to know if it is an external/internal return or a fresh task
Check the camera one by one in order to Analyze and help you find if there’s a missed tag objects in the task, by playing it slowly, and do it back and forth using “___ and ____” in all 6 cameras
While playing the task, the reviewer must set the cuboid coloring using “______” to identify if there’s a wrong labeled object
Check each cuboid by attribute starting with Undefined, Verified=No and Verified=Yes cuboids
Once the cuboid is set to verified = no the size of the cuboid in all frames must be accurate and 10% tolerance is applicable
Make sure that there is no warning errors in all frames. You can easily access all the error by pressing “___“ for Assistant
___________that are driving on dedicated railroads and would only intersect with cars or street vehicles on railroad crossings
__________are usually powered by overhead electrical wires and used for medium-capacity local transportation in metropolitan areas.
Based on specs defines a vehicle with two wheels tandem, handlebars for steering, a saddle seat, and pedals by which it is propelled, Bicycles are designed to travel at a slower speed on the road surface, sidewalk, or bicycle lane
In order to identify that you’re a reviewer, your task is in what mode?
Any missing object with 30-40 lidar points must be marked. Missing objects with less points should also be marked.
In Tagging Method, what should be the first thing to do when receiving a task?
The annotator must check only the verified=no annotation because it is the cuboids that have been fixed.
The purpose of this project is to improve the detection abilities of LiDAR networks.You will receive clips that include both LiDAR points cloud and 2D camera data, and will be required to make amends to certain system detected objects.