Training data consists of oriented bounding boxes rather than horizontal ones

[vsd550]

I want to perform classification and detection only on my dataset of satellite images using Faster Rcnn. The problem is that there are very dense objects in the image and have oriented bounding boxes with all the 4 coordinates specified, while the faster rcnn takes horizantal bounding boxes with 2 coordinates only(Xmin,Ymin,Xmax,Ymax) while training. SO basically we need to regress over 4 coordinates rather than 2. Please suggest how can I do it or refer me to some similar projects. Thanks in advance

[Shamsa279]

@vsd550 did you find something related to your problem? Actually I am working on the same problem

[vsd550]

@Shamsa279 Unfortunately not yet. I am on it. Please share if u find something. Thanks

[priya55612]

@Shamsa279 and @vsd550 Did you guys find anything on this?

[priya55612]

My bounding boxes have center (x,y), height, width, and angle