Speeding up io and improving documentation
Bug fixes and documentation updates
Documentation Updates
We have now added support for other cloud storage providers. You can now work directly with data stored in AWS S3, Azure Blob Storage, and Google Cloud Storage. Furthermore, you can stream data directly from your local filesystem in the Lightly Platform without uploading any images/ videos to any cloud. Check out the instructions here!
Performance
- We improved the dataset indexing that is used whenever you create a lightly dataset. Indexing of large datasets (>1 mio samples) now works much faster.
Models
- Bootstrap your own latent: A new approach to self-supervised Learning, 2020
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction, 2021
- SimSiam: Exploring Simple Siamese Representation Learning, 2020
- MoCo: Momentum Contrast for Unsupervised Visual Representation Learning, 2019
- SimCLR: A Simple Framework for Contrastive Learning of Visual Representations, 2020
- NNCLR: Nearest-Neighbor Contrastive Learning of Visual Representations, 2021
- SwAV: Unsupervised Learning of Visual Features by Contrasting Cluster Assignments, M. Caron, 2020