ensta-u2is-ai / muad-dataset Goto Github PK

I have downloaded the dataset and i find 3 missing classes: riders, motos and trains. Furthermore, the class bike is only in around 30 images and those 30 images contain around 40 pixels of class bike.
Is there a mistake with the published dataset?

Hi

In the data description it's mentioned that this data support 4 tasks which is object detection, instance segmentation and semantic segmentation. I can find the labels of 2D bounding box for object detection.

Here I can't find the 2D bounding box

could you please add the 2D bounding box for object detection if you guys do have it?

Thank you

Hi! Thanks for providing this good work.

I have read the paper and this statement in the paper indicate that model trained on MUAD images modified with simple histogram matching with Cityscapes images can achieve better results than w/o histogram matching.

I am curious about how to choose the reference image for histogram matching. Is the reference image randomly chosen from the target dataset(Cityscapes)?

Thank you!

Hello !
In the readme, classes are indexed from 0 to 20. When reading the files 000***_leftLabel.png i find some pixel value at 255. What does it mean ?

There is also no busses in the train dataset (idx 16) even though this class is not supposed to be OOD. Can you explain why ?

In the expected output should be to predict classes up to idx 14 ? even if it means a low score for pixels of OOD object ?

Thanks