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Dataset split ids? #7
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Splits are uniquely defined in our data folder through the tfds subsplit API: https://www.tensorflow.org/datasets/splits. The easiest solution would be to use our code to load the data (which will produce the exact splits from the paper). |
Thanks for your response: I've been able to load the data and output the train/val/test splits. |
Dear VTAB team, I’m Xiao Lin from SRI. We’ve been working on cross-domain few-shot learning solutions and find your VTAB-1000 benchmark very exciting. It’s the large-scale fixed-split benchmark we need, comparing to existing small 5-way k-shot problems and the random-way random-shot meta-dataset, so we hope to try it out. But I ran into some difficulties downloading the dataset. After installing the pip requirements and try running dataset preparation scripts, TF1.5 tells me that “the version of dataset you want to download requires TF2” and when I try installing TF2 instead of TF1.5, some other errors pop up On the other hand, I main pytorch and I’m not very familiar with tensorflow. I think maybe a good common ground is sharing the images/image names/your custom labels in addition to the benchmarking code. Your protocol of train/val/test sounds very clear so people would be able to reproduce across platforms. The exception being the Res50v2 model architecture/weights and the fine-tuning procedures, but both of which are actively being improved in your BigTransfer work. In case there’s a follow up challenge, is it possible for the benchmark side to run dockers for some cross-platform love? Best, |
Hi, Would it be possible to upload split_ids file giving the ids of the original dataset samples? |
Would it be possible to provide the dataset split ids you used for the paper, i.e.
train
val
test
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