Deep Lake Docs
We hope you enjoy Docs for Deep Lake.
- Store embeddings and their metadata including text, jsons, images, audio, video, and more. Save the data locally, in your cloud, or on Deep Lake storage.
- Perform complex search including embeddings and their attributes.
- Store images, audios, videos, text and their metadata (i.e. annotations) in a data format optimized for Deep Learning. Save the data locally, in your cloud, or on Activeloop storage.
- Rapidly train PyTorch and TensorFlow models while streaming data with no boilerplate code.
- Run version control, dataset queries, and distributed workloads using a simple Python API.