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@ShotwellSt

Make the most of your robotics data.
San Francisco shotwell.ai Joined April 2026
4 Following 297 Followers 16 Posts

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Shotwell. Verified account @ShotwellSt
Shotwell works with robotics companies scaling their robotics data operations by providing annotations and quality checks.

It's been the biggest unlock for our customers, enabling them to make the most of their data
Farhan Khan Verified account @farhunky Aug 5
Today, we're introducing @shotwellst.

We're solving the hardest problem in robotics: understanding your data

There’s no point collecting robotics data if you don't understand whats happening in it, but your options are limited. If you need dense, accurate labels with precise subtask boundaries, VLMs don't cut it, an in-house annotation army is a huge operational sink, and today's vendors charge an arm and a leg for low quality work

Shotwell combines the best of both worlds by training our own annotation models and letting humans deal with the ugly edge cases.

Its the ONLY way to consistently guarantee 100% quality in a scalable way. Humans are inconsistent, and models are inaccurate.
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Shotwell. Verified account @ShotwellSt
Benchmarking is the first step to improving any system. If you're working on evals, annotations, or benchmarking high quality data, reach out!
Farhan Khan Verified account @farhunky Nov 2
Today we’re releasing a new annotation benchmark: Shotwell-Bench

Existing benchmarks results never agreed with our internal ranking of models because they all have the same flaw: they penalize valid model outputs that don’t match their rigid reference annotations.

This is the first approach that accepts valid alternatives.

Here are the results, and more details below 🧵
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