A dataset represents a collection of files. A file contains raw data (like an image), and encoded meaning (like box or polygons, otherwise known as instances.).
A few example uses:
- Separate data into two or more models. For the high/low class imbalance pattern.
- Organize work. e.g. prior to export, use the power of the filters, only showing completed, and and then export only completed
- Create training splits in order to test different theories
When creating a new batch of work, exporting, etc. you can choose which directory to pull from. This is Active Data in the sense that as the data changes, any new activity that uses the directory will also change.
Changing current directory
Select a directory from the drop down menu
Files will refresh automatically
Click the plus button
Choose a name and click create
Update / Rename / Archive
Please contact us if you need to restore an archived directory.
Updated 5 months ago