data annotation

DataFunSummit

Feb 4, 2025 · Artificial Intelligence

Training Optimization for Large-Scale Multimodal Models in Content Safety

This article examines the challenges of content safety, outlines the limitations of current task‑specific multimodal models, and proposes large‑model‑inspired training optimizations—including diversified data construction, automated annotation, parameter fine‑tuning, and multi‑task evaluation—to improve efficiency, accuracy, and scalability of multimodal AI systems.

AI optimizationLarge Model Trainingcontent safety

0 likes · 26 min read

Training Optimization for Large-Scale Multimodal Models in Content Safety

58 Tech

May 11, 2023 · Artificial Intelligence

Stella Data Annotation Platform: Design, Architecture, and AI‑Assisted Labeling

The article details the design and implementation of the Stella data annotation SaaS platform at 58.com, covering its background, evolution, modular architecture, annotation capabilities across text, image, audio, and video, AI‑assisted labeling, storage solutions, quality and efficiency management, as well as localization and licensing considerations.

AI PlatformQuality ManagementSystem Architecture

0 likes · 21 min read

Stella Data Annotation Platform: Design, Architecture, and AI‑Assisted Labeling

Sohu Tech Products

Apr 12, 2023 · Artificial Intelligence

Using Apple CreateML for Object Detection: From Data Annotation to Model Deployment

This article walks through the complete workflow of building an iOS object‑detection model with Apple’s CreateML, covering data collection, JSON annotation, using Roboflow for labeling, configuring training parameters, exporting the model, and integrating it into a Swift app via the Vision framework.

CreateMLSwiftdata annotation

0 likes · 11 min read

Using Apple CreateML for Object Detection: From Data Annotation to Model Deployment

Sohu Tech Products

Mar 22, 2023 · Artificial Intelligence

Using Apple CreateML for Object Detection: From Data Annotation to Model Deployment

This article walks through the complete workflow of building an iOS object‑detection model with Apple CreateML, covering data collection, JSON‑based annotation (using Roboflow), training configuration, evaluation metrics, model export, and integration into a Swift app via the Vision framework.

CreateMLdata annotationiOS

0 likes · 11 min read

DataFunTalk

Feb 20, 2023 · Artificial Intelligence

ChatGPT Technology, Localization Efforts, and Open‑Source Large Models – Overview and Practices

This article presents an overview of ChatGPT technology, its evolution, current challenges, a three‑stage learning process, data organization and evaluation, details of domestic localization efforts, practical solutions, and the release of a Chinese open‑source large model with training guidance.

ChatGPTModel Localizationdata annotation

0 likes · 12 min read

ChatGPT Technology, Localization Efforts, and Open‑Source Large Models – Overview and Practices

58 Tech

Jun 9, 2022 · Artificial Intelligence

Multi‑Label Image Recognition for 58.com: Algorithm Design, Data Construction, and Model Optimization

This article presents a comprehensive study of multi‑label image recognition applied to 58.com’s business scenarios, covering problem motivation, dataset construction, evaluation metrics, mainstream deep‑learning methods, an asymmetric‑loss‑based optimization pipeline, and practical output schemes for recommendation and retrieval.

asymmetric losscomputer visiondata annotation

0 likes · 17 min read

Multi‑Label Image Recognition for 58.com: Algorithm Design, Data Construction, and Model Optimization

Kuaishou Audio & Video Technology

Mar 10, 2022 · Artificial Intelligence

How Kuaishou Achieved High‑Precision, Low‑Latency Danmu Blocking with AI

To prevent dense on‑screen comments from obscuring key video content, Kuaishou’s audio‑video team built a high‑precision, low‑latency intelligent danmu‑blocking system that uses advanced image‑segmentation masks, temporal stability enhancements, SSIM‑based scene detection, and a large‑scale annotated dataset to ensure robust, real‑time protection across diverse video scenarios.

AIdanmu blockingdata annotation

0 likes · 11 min read

How Kuaishou Achieved High‑Precision, Low‑Latency Danmu Blocking with AI

Laiye Technology Team

Dec 10, 2021 · Artificial Intelligence

Best Practices for Building an Entity‑Relationship Annotation Tool at Laiye AI R&D Center

This article details Laiye Technology’s AI R&D team’s end‑to‑end approach to designing and optimizing a custom entity‑relationship annotation tool, covering data‑labeling challenges, shortcomings of Excel and off‑the‑shelf solutions, architectural requirements, line‑breaking and mark‑position algorithms, performance improvements, and real‑world results.

JavaScriptNLPPerformance Optimization

0 likes · 12 min read

Best Practices for Building an Entity‑Relationship Annotation Tool at Laiye AI R&D Center

DataFunTalk

Nov 18, 2021 · R&D Management

Insights into AI R&D Management, Cost Efficiency, and Education Solutions at New Oriental AI Research Institute

The article reviews New Oriental’s AI research institute journey, analyzing AI development trends, challenges, performance metrics, organizational structure, cost‑reduction strategies, and product innovations in education, offering practical insights for AI R&D management and enterprise AI deployment.

AICost EfficiencyEducation Technology

0 likes · 27 min read

Insights into AI R&D Management, Cost Efficiency, and Education Solutions at New Oriental AI Research Institute

New Oriental Technology

Sep 29, 2021 · Artificial Intelligence

Building and Managing an AI Research Department: Engineering Practices, Organizational Structure, and Educational Applications

This article explores the strategic management and engineering practices required to build an effective AI research department, detailing organizational structures, performance metrics, cost-reduction strategies, and practical educational AI solutions that bridge theoretical algorithms with scalable industrial applications.

AI DevOpsAI R&D ManagementCost Optimization

0 likes · 23 min read

Building and Managing an AI Research Department: Engineering Practices, Organizational Structure, and Educational Applications

Ctrip Technology

Aug 26, 2021 · Artificial Intelligence

Applying Snorkel Weak Supervision to Automate Event Summaries in Ctrip Customer Service

The article explains how Ctrip’s hotel customer‑service team uses the Snorkel weak‑supervision framework to generate large‑scale labeled data for training models that automatically produce structured event summaries, detailing the workflow, labeling functions, generative and discriminative model training, and performance improvements.

Labeling FunctionsNLPSnorkel

0 likes · 14 min read

Applying Snorkel Weak Supervision to Automate Event Summaries in Ctrip Customer Service

DataFunTalk

Apr 28, 2021 · Artificial Intelligence

Zero‑Barrier AI Development Training: Automatic Driving Scene Image Segmentation with EasyDL

This article introduces Baidu EasyDL's zero‑threshold AI training camp, focusing on an automatic‑driving scene image‑segmentation case study, covering platform features, model selection, data collection, cleaning, annotation, smart labeling, augmentation, deployment, and a live Q&A session.

AI DevelopmentEasyDLautonomous driving

0 likes · 33 min read

Zero‑Barrier AI Development Training: Automatic Driving Scene Image Segmentation with EasyDL

DataFunTalk

May 30, 2019 · Artificial Intelligence

Data Annotation, Data‑Driven Development, and Decision‑Making in Autonomous Driving

The talk explains how massive, well‑annotated data fuels autonomous‑driving AI, covering data annotation metrics, team structure, efficiency‑boosting techniques, system stability, and how data‑driven development and decision‑making improve model training, evaluation, and product priorities.

Artificial IntelligenceSystem Stabilityautonomous driving

0 likes · 9 min read

Data Annotation, Data‑Driven Development, and Decision‑Making in Autonomous Driving

Baidu Intelligent Testing

May 5, 2019 · Artificial Intelligence

Evolution and Design of Data Annotation Scheduling Systems at Baidu Intelligent Cloud

This article outlines the historical development of data annotation—from its early, manual stages to a mature, fully automated scheduling system—detailing key elements, challenges, and architectural solutions that enable scalable, high‑quality AI data pipelines at Baidu Intelligent Cloud.

AIHigh AvailabilityWorkflow Automation

0 likes · 9 min read

Evolution and Design of Data Annotation Scheduling Systems at Baidu Intelligent Cloud

JD Tech

Mar 8, 2019 · Artificial Intelligence

Integrated Engineering & Algorithm Platform for AI Visual Applications

This article describes a comprehensive, end‑to‑end AI visual algorithm platform that unifies data collection, annotation, model training, deployment, testing, quality evaluation, and service gateways, illustrating how such integration improves transparency, efficiency, and quality across use cases like background removal, face swapping, and clothing recommendation.

AIAlgorithm PlatformClothing Recommendation

0 likes · 13 min read

Integrated Engineering & Algorithm Platform for AI Visual Applications