Dataset Visualization

How to connect Deep Lake datasets to Activeloop Platform

How to visualize machine learning datasets

Deep Lake has a web interface for visualizing, versioning, querying, and operating on machine learning datasets. It utilizes the Deep Lake format under-the-hood, and it can be connected to datasets stored in all Deep Lake storage locations.

Visualization can be performed in 3 ways:

1. In the Deep Lake UI (most feature-rich and performant option)
2. In the python API using ds.visualize()
3. In your own application using our integration options.

Requirements for correctly visualizing your own datasets

Deep Lake makes assumptions about underlying data types and relationships between tensors in order to display the data correctly. Understanding the following concepts is necessary in order to effectively use the visualizer:

1. Data Types (htypes)
2. Relationships between tensors

Visualizer Controls and Modes