Enumeration KnownTaskType

Classification in machine learning and statistics is a supervised learning approach in which the computer program learns from the data given to it and make new observations or classifications.

Forecasting is a special kind of regression task that deals with time-series data and creates forecasting model that can be used to predict the near future values based on the inputs.

Image Classification. Multi-class image classification is used when an image is classified with only a single label from a set of classes - e.g. each image is classified as either an image of a 'cat' or a 'dog' or a 'duck'.

Image Classification Multilabel. Multi-label image classification is used when an image could have one or more labels from a set of labels - e.g. an image could be labeled with both 'cat' and 'dog'.

Image Instance Segmentation. Instance segmentation is used to identify objects in an image at the pixel level, drawing a polygon around each object in the image.

Image Object Detection. Object detection is used to identify objects in an image and locate each object with a bounding box e.g. locate all dogs and cats in an image and draw a bounding box around each.

Regression means to predict the value using the input data. Regression models are used to predict a continuous value.

Text classification (also known as text tagging or text categorization) is the process of sorting texts into categories. Categories are mutually exclusive.

Multilabel classification task assigns each sample to a group (zero or more) of target labels.

Text Named Entity Recognition a.k.a. TextNER. Named Entity Recognition (NER) is the ability to take free-form text and identify the occurrences of entities such as people, locations, organizations, and more.