Latest Articles for Data Annotation

This paper showcases a method for using LLMs to annotate tabular data with minimal human effort.

This study examines LLMs as a cost-effective alternative for text classification.

SAVE model enhances audio-visual segmentation with efficiency and precision.

Discover how AI is transforming image annotation for better accuracy and speed.

A new method reduces the need for labeled data in computer vision tasks.

The AMEX dataset enhances AI understanding of mobile app interfaces.

New method improves how deep learning models segment 3D medical images.

A new approach to finding video moments using natural language queries.

A new method that enhances object detection using noisy crowdsourced labels.

A new method reduces reliance on human annotations in image segmentation.

Gaze data helps reduce labeling efforts in medical image analysis.

SPIN offers detailed subpart annotations to improve image recognition.

New dataset enhances object recognition through detailed part annotations.

A new model to evaluate chance agreement in text annotation tasks.

A new approach enhances organ segmentation in medical images using partially labeled datasets.

Quality image annotations are key to AI success in image analysis.

An efficient tool for labeling videos enhances object detection training.

New framework enhances speech recognition for diverse Arabic dialects.

A new annotated corpus boosts event-argument extraction in Arabic texts.

Improving data quality through collaborative efforts in the annotation process.

A new method enhances example selection for better model learning.

This study examines how different summarization methods affect quality and content.

This article discusses counterfactual data augmentation in active learning for improved model performance.

MaterioMiner dataset connects materials mechanics with scientific literature for improved research.

New methods improve lymph node segmentation using partial annotations.

Automating data labeling while ensuring accuracy with machine learning and crowd input.

A new technique simplifies 3D segmentation using minimal human effort.

A new method improves speech recognition for Hindi using pseudo-labeling techniques.

New method enhances image understanding in computer vision models by applying physical rules.

A novel method accounts for human disagreement in natural language processing tasks.

This work improves coreference resolution across languages with a new dataset and methods.

A novel approach to video instance segmentation reducing annotation needs.

This study evaluates machine learning models for detecting trash in rivers.

Using self-supervised learning to classify underwater imagery in a hierarchical framework.

A study assessing AI's effectiveness in social media text annotation.

CCT-R improves medical image segmentation using semi-supervised learning and spatial registration.

A new method enhances sample selection in semi-supervised learning.

The ARTICLE framework improves data quality in natural language processing through self-consistency.

A new dataset aims to enhance video capsule endoscopy research and AI development.

A new method simplifies 3D labeling for self-driving cars using standard camera images.