Owl-vit training on custom dataset from scratch
Do you have a owl-vit full training example with custom dataset from scratch? I don’t understand what to do from the manual:python -m scenic.projects.owl_vit.main \   --alsologtostderr=true \   --workdir=/tmp/training \   --config=scenic/projects/owl_vit/configs/clip_b32_finetune.pyI have a dataset with 30k images. I need description of each images instead a simple label? I need to make some kind of conversion? I need to train a CLIP model before? Someone could explain all step to make a training on custom dataset? Thanks.