Data Labeling for
Satellite Image Detection

Use custom-data and supplement it

There is still a huge competitive advantage to owning your own quality private data-sets, so make sure you diligently collect data and use synthetic data when you need to enrich it.

Effective data labeling requires expertise

Many firms will crowdsource annotators, or use staff with little-to-no experience, but a good data labeling service requires experience, as well as attention to detail.

Data privacy should remain paramount

Since effective training data requires lots of company information in many cases, those performing your data labeling should be under NDA with your firm or service provider.

Strive for continuous improvement

Don’t be content to just deploy your solution and move on. Work to continually improve its capabilities to adapt to changing needs.