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Santiago Castro
bryant1410
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bryant1410
bryant1410
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Vision and Language, Humor, Sarcasm.
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Want to validate some hparams or figure out what `timm` model to use before commiting to download or training with a large dataset? Try mini-imagenet: https://huggingface.co/datasets/timm/mini-imagenet I had this sitting on my drive and forgot where I pulled it together from. It's 100 classes of imagenet, 50k train and 10k val images (from ImageNet-1k train set), and 5k test images (from ImageNet-1k val set). 7.4GB instead of > 100GB for the full ImageNet-1k. This ver is not reduced resolution like some other 'mini' versions. Super easy to use with timm train/val scripts, checkout the dataset card. I often check fine-tuning with even smaller datasets like: * https://huggingface.co/datasets/timm/resisc45 * https://huggingface.co/datasets/timm/oxford-iiit-pet But those are a bit small to train any modest size model w/o starting from pretrained weights.
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a
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over 1 year ago
Scalable 3D Captioning with Pretrained Models
Paper
โข
2306.07279
โข
Published
Jun 12, 2023
โข
15