Collections

Text Classification is the task of assigning a label or class to a given text. Some use cases are sentiment analysis, natural language inference, and assessing grammatical correctness.

Audio Classification is the task of assigning a label or class to a given audio. It can be used for recognizing which command a user is giving or the emotion of a statement, as well as identifying a speaker.

Depth Estimation is the task of predicting depth of the objects present in an image.

Image feature extraction is the task of extracting features learnt in a computer vision model.

Token Classification is a natural language understanding task in which a label is assigned to some tokens in a text. Some popular token classification subtasks are Named Entity Recognition (NER) and Part-of-Speech (PoS) tagging.

This is a natural language processing task where a model is trained on labeled data but can classify new examples from classes it has never encountered before.

Image Classification is the task of assigning a label or class to an entire image. Images are expected to have only one class for each image. Image classification models take an image as input and return a prediction about which class the image belongs to