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So if I have a custom dataset with e.g. trucks only I should specify:
self.obj365_ids = [7] # Truck
And then further in my custom_detection.yml config I would specify number of classes as being 2 as I will have two classes background and trucks? Is this correctly understood?
The text was updated successfully, but these errors were encountered:
It depends on whether the class starts at 0 or 1. If the ids in your dataset start at 1, you can remap them, or just set the class to 2 as you said. In the latter case, class0 is never used
Hey team, i've also been having some difficulty finetuning on a custom dataset (using the pre-trained obj365 weights, s model). In the docs it says that you can just use your new labels, but in practice, that doesnt seem to work very well. Should we try to line our classes up with the obj365 or coco classes as best we can? Some clarification or examples would be awesome
Hi,
In the example the following is given
is this the ordering that should be used consistently? I.e. the the mapping in
src/data/dataset/coco_dataset.py
-1?Snippet from file
So if I have a custom dataset with e.g. trucks only I should specify:
And then further in my
custom_detection.yml
config I would specify number of classes as being 2 as I will have two classes background and trucks? Is this correctly understood?The text was updated successfully, but these errors were encountered: