Open Source
Data Labeling Tool

Put images into categories

Detect objects on image, bboxes, polygons, circular, and keypoints supported

Partition image into multiple segments. Use ML models to pre-label and optimize the process

Put audio into categories

Partition an input audio stream into homogeneous segments according to the speaker identity

Tag and identify emotion from the audio.

Write down verbal communication in text

Classify document into one or multiple categories. Use taxonomies of up-to 10000 classes

‍Extract and put into pre-defined categories relevant bits of information

‍Answer questions based on context

Determine whether document is positive, negative or neutral

Put time series into categories

‍Identify regions relevant to activity type you're build your ML algorithm for

Label single events on plots of time series data

Track single or multiple objects inside video stream

‍Separate objects from background inside video

Tag and identify action from the video segment

Call center recording can be simultaneously transcribed and processed as text

Put an image and the text right next to each other

‍‍Use video or audio streams to easier segment time series data