The most common problem we have seen our customers face today is lack of quality data.
Good training data is the most important part of building a reliable AI model. The quality of your AI model depends on the quality of your training data.
I’m sure you have heard this a million times now: Garbage In = Garbage Out.
Tips:
- Collect high quality training data with good variation. For example different lighting conditions, different seasons, different day-of-time, different background, etc.
- Make sure that the data collected is as close to the scenario where the AI will be used once it is trained.
As simple as these sound, people often overlook these things when preparing their data.
Read about 5 best ways of collecting training data ….
Pre-trained AI models available to download for free here 👈