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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

Task Zero-Shot Image Classification is an important task in the field of image processing and artificial intelligence. This task aims to classify images into different categories where the model has never been trained before.

The Object Detection task is an important task in the fields of computer vision and artificial intelligence. Its main objective is to detect and determine the position of objects within images or videos.

The DQA is a task in natural language processing and information retrieval that focuses on automatically generating accurate and relevant answers to questions based on a given document.

The Image Segmentation task is an important task in the fields of computer vision and image processing. Its main objective is to segment and classify different regions within an image to delineate the boundaries of objects.