Collections

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.

Task Text-to-Image is an important task in the field of artificial intelligence and natural language processing. This task aims to create images from descriptions or descriptive text.

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 Text Generation is an important task in the field of natural language processing and artificial intelligence. This task aims to generate text automatically from input data, including descriptions, stories, articles, or other types of text.

The Image-to-Text task is an important task in the field of natural language processing and computer vision. Its purpose is to convert information within an image into readable and understandable text.