Lakshman

@BraveGump : I am also facing a similar issue, Were you able to replicate the results?

@capjamesg if you can confirm this that will be great

@capjamesg I think we already added this I guess. we can close this I guess.

@capjamesg Is any one working on PaliGemma? Would like to add support

okay cool will take it up On Fri, May 17, 2024 at 8:01 PM James ***@***.***> wrote: > We have a PaliGemma repository in the works that will be released...

@karthyyy Unfortunately the paper does not give any info about the training data. But the model is evaluated on COCO, LVISBenchmark and ODinW. if your classes are present in one...

@Davisonyeas please refer to the comment by @Jordan-Pierce, with autodistill the base model uses the default thresholds you can play around with thresholds in the HF spaces and add those...

I think currently you cannot pass the parameters directly when initialising the base model. One option might be you can modify it here https://github.com/autodistill/autodistill-grounding-dino/blob/c8991645a75ddb0d4f93a5a96968f0a08f1faef6/autodistill_grounding_dino/helpers.py#L71 if you are using Grounding DINO....

Sorry I overlooked code @Jordan-Pierce I was checking the load dino part my bad =(