Muse
Lab

The laboratory of Muse.

Not every question requires a product decision. Experiments provide a way to test small ideas, technologies, assumptions and approaches — and to keep both the successful and unsuccessful ones on the record.

Updated September 2026
Currently investigating

Clothing recognition

Explored

Question: how accurately can a garment be recognized and described from a photograph taken by an ordinary person, in ordinary conditions?

Related: Google Cloud Vision exploration.

Visual product search

Explored

Question: can product-search infrastructure connect a photographed garment to useful product information — and is exact identification even necessary?

Related: Google Cloud Product Search, product-set approach for clothing images.

Wardrobe → outfit matching

Proposed

Question: once garments are represented together, what actually makes two pieces compatible, and can that be computed?

Not yet started.

These are investigations in progress, recorded here so the questions stay visible even before there are answers. Results will be written up in full using the format below.

Lifecycle

Every experiment is recorded the same way.

  • Question

    What are we trying to understand?

  • Hypothesis

    What do we expect to happen?

  • Method

    How will it be tested?

  • Result

    What happened.

  • Conclusion

    What the result tells us.

  • Decision

    What changes in Muse because of it.

  • Status

    Active, completed, inconclusive or abandoned.

Archive

Completed experiments stay accessible.

A failed experiment is still part of the project's history. The archive preserves both successful and unsuccessful approaches, because knowing what did not work is often the more useful record.

No completed experiments yet

The exploration so far has been technical investigation rather than structured experiments with recorded results. As the investigations above are written up against the format, they will appear here.

Muse · a project by Amit Last updated September 2026