help wanted
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Beschreibung
Thank you so much for your contributions.
I'm trying to train model to detect architectural objects and none of the models i train seems to detect long and thin object (as illustrated in the attached image).
- the dataset size is more than fair, it works fine on axis aligned object detection.
- Checked and manually retraced the annotation polygons and there no issue with that
Already tried the following architectures :
- Oriented RCNN (ResNet 18 with full sized images, R(50, 101, 152 )with the splitting pre-processing and ResNeXt101)
- Rotated Faster RCNN (ResNet(50..152) and ResNeXt)
- Retinatnet (ResNet101)
- ROI Trans (R50 and R101)
- ReDet with R50
and none of these exceeded 0.4 mAP for that specific class.
Do you have any architecture recommendation or a change in the config i can do to improve my results?
