Example tables

Explore example W&B Tables projects for image classification, audio, text analysis, and other use cases.

This page showcases example W&B Tables projects. The examples illustrate what you can build with Tables and how teams use them for different data types and workflows. Use them as inspiration for your own projects or as starting points for exploring Tables features.

Ways to use tables

The following sections highlight some of the ways you can use tables:

View your data

Log metrics and rich media during model training or evaluation, then visualize results in a persistent database synced to the cloud, or to your hosting instance.

For example, check out this table that shows a balanced split of a photos dataset.

Explore your data interactively

View, sort, filter, group, join, and query tables to understand your data and model performance. You don’t need to browse static files or rerun analysis scripts.

For example, see this report on style-transferred audio.

Compare model versions

Compare results across training epochs, datasets, hyperparameter choices, and model architectures.

For example, see this table that compares two models on the same test images.

Track every detail and see the bigger picture

Zoom in to visualize a specific prediction at a specific step. Zoom out to see the aggregate statistics, identify patterns of errors, and understand opportunities for improvement. This tool works for comparing steps from a single model training, or results across different model versions.

For example, see this table that analyzes results after one and then after five epochs on the MNIST dataset.

Example projects with W&B Tables

The following sections highlight real W&B projects that use Tables, organized by data type and use case.

Image classification

See how a CNN identifies ten types of living things (plants, birds, insects, and more) from iNaturalist photos. Read Visualize Data for Image Classification, follow the data visualization nature Colab, or explore the artifacts context.

Audio

Interact with audio tables in Whale2Song - W&B Tables for Audio on timbre transfer. You can compare a recorded whale song with a synthesized rendition of the same melody on an instrument like violin or trumpet. You can also record your own songs and explore their synthesized versions in W&B with the audio transfer Colab.

Text

Browse text samples from training data or generated output, dynamically group by relevant fields, and align your evaluation across model variants or experiment settings. Render text as Markdown or use visual diff mode to compare texts. See the Shakespeare text generation report for an example of a character-based RNN.

Video

Browse and aggregate over videos logged during training to understand your models. For an example, see the SafeLife benchmark for reinforcement learning (RL) agents seeking to minimize side effects.

Tabular data

View a report on how to split and preprocess tabular data with version control and deduplication.

Compare model variants (semantic segmentation)

See an interactive notebook and live example that log Tables for semantic segmentation and compare different models. Try your own queries in this Table.

Analyze improvement over training time

Read the detailed report on how to visualize predictions over time, and explore the accompanying interactive notebook.