Did you ever try to train a vision model from scratch?

Did you ever try to train a vision model from scratch?

You start simple: detect one object.
Then reality hits.
You limit how many objects appear in one image — not because it’s correct, but because labeling is slow, manual, and expensive.
So you compromise.
On data quality.
On scale.
On edge cases.

We think this is the wrong trade-off.
At Scailab, we’re building tools to make getting the right data easy — without weeks of manual labeling.

Synthetic data shouldn’t be a research project. It should be infrastructure.
Less labeling.
Better datasets.
Faster progress.
That’s the problem we’re here to solve.