I’ve gotten a smaller resolution dataset training now… it seems still to have a “jump” whenever the dataset restarts… making me wonder if theres something wrong there…
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I must next likely test this model once it’s done training, and if it’s still bad, start looking at the data loader, then the passes of the model… and watch the NMS(non-max-supression) thresholds
this is admittedly a very small dataset, but I will keep adding to it and continue to train and see how that affects behavior as well.