Segment instances on image datasets using the Universal Data Tool
Click "New File" on udt.dev
Then select the Image Segmentation button from the
Setup > Data Typepage.
You can configure the Image Segmentation to create the right interface for your dataset. Use the
Setup > Previewbutton to see your interface against either an example image or a sample from your dataset.
Image Segmentation with Bounding Box Classification
The Image Segmentation interface allows different types of regions, the options for regions are:
Each region can any number of labels, which can be configured under "Available Labels"
You can use any of the following methods to import image data. If you're just getting started, you can quickly create a dataset using the COCO Images method!
Labeltab to label your data. Look at the Collaborative Labeling Guide to label with others.
You can download your data using the download icon at the top.
Download your data in CSV or JSON format to use the annotations
You can use the Universal Data Tool Converter to convert UDT files into PNG masks, or other formats that are helpful for machine learning datasets.
It's very common to convert into PNGs