Hub v2.3.4 features
We added support for the most common image formats in
hub.ingest_kaggle (so you can directly ingest popular datasets from Kaggle). Also, we introduced
ds.summary() so you can easily understand your dataset layout. See what’s included in the screenshot!
Now you can return data in PyTorch Dataloaders as bytes instead of tensors, using
ds.pytorch(... tobytes = True). This enables you to use libraries of your choice to decompress and remove your data. We also shipped less intrusive locking when performing operations on different version control branches.
New datasets were uploaded and documented by our community members Uday Uppal (KKanji) and Manas Gupta (EMNIST). We also changed
str return to include Tensor-Wise information which was for issue by Suhaas Neel.