How to train a Detectron2 model for OBJ Detection #5201
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lollobeach
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Hello everyone!
I'm new in the Object Detection Field and it is the first time that I train this kind of model for recognizing several IoT icons for an exam.
I started the training following the official tutorial with my custom dataset composed by some images (55 for the training and 20 about for the validation) in which only one icon was labelled, so in this case the Object Detection model should detect only one element (a "gateway").
During testing I saw that sometimes the model fails detecting also other elements that are not a gateway.
Since that I have to improve this model and also that in the future the latter will detect other icons I thought to increment the dataset labeling other objects, and my question is:
now do I have to restart the training with this new dataset (that includes more than one class) or can I continue the training with this model pre-trained?
I don't know which could be the best solution for my case, so any suggestion will be appreciated!
Thanks in advice!
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