In this work, we developed a novel modeling formalism for cell type annotation with a supervised contrastive learning method, named SCLSC (Supervised Contrastive Learning for Single Cell). Different ...

Data science and machine learning teams face a hidden productivity killer: annotation errors. Recent research from Apple analyzing production machine learning (ML ...

While much has changed in schools in recent years with technology, the need to read and write alongside a text remains a crucial component for learning. This type of writing, note-making as opposed to ...

Abstract: Nucleus instance segmentation from histopathology images suffers from the extremely laborious and expert-dependent annotation of nucleus instances. As a promising solution to this task, ...

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

In recent years, the integration of machine learning (ML) into various sectors has revolutionized how we approach problem-solving and efficiency. Yet, behind the impressive outcomes of these models ...

Enhance the performance of your Artificial Intelligence (AI) models by precisely annotating your text, image, audio and video data. Our data annotation service involves adding annotations or metadata ...

On TikTok, Reddit, and elsewhere, posts are popping up from users claiming they’re making $20 per hour—or more—completing small tasks in their spare time on sites such as DataAnnotation.tech, ...