https://www.youngju.dev/blog 천천히 올바르게. AI Researcher & DevOps Engineer Youngju's tech blog. GPU/CUDA, LLM, MLOps, Kubernetes AI workloads, distributed training, and data engineering. ko fjvbn2003@gmail.com (Youngju Kim) fjvbn2003@gmail.com (Youngju Kim) Sat, 16 May 2026 00:00:00 GMT https://www.youngju.dev/blog/culture/2026-05-16-ai-data-annotation-labeling-tools-2026-labelbox-v7-cvat-roboflow-encord-superannotate-supervisely-scale-ai-deep-dive.en https://www.youngju.dev/blog/culture/2026-05-16-ai-data-annotation-labeling-tools-2026-labelbox-v7-cvat-roboflow-encord-superannotate-supervisely-scale-ai-deep-dive.en The AI data annotation market in 2026 has split in two — enterprise managed platforms like Scale AI and Labelbox versus open-source self-hosted options like CVAT and Label Studio. Foundation models like SAM 2 and Grounding DINO have wedged in on top, letting "one annotator do 10x the work." This piece maps 25 tools across 8 categories and tells you what to pick for autonomous driving, medical imaging, LLM RLHF, or Korean NER. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) data-annotationlabelinglabelboxv7cvatroboflowencordsuperannotatesuperviselyscale-ailabel-studioenglish https://www.youngju.dev/blog/culture/2026-05-16-ai-data-annotation-labeling-tools-2026-labelbox-v7-cvat-roboflow-encord-superannotate-supervisely-scale-ai-deep-dive.ja https://www.youngju.dev/blog/culture/2026-05-16-ai-data-annotation-labeling-tools-2026-labelbox-v7-cvat-roboflow-encord-superannotate-supervisely-scale-ai-deep-dive.ja 2026年の AI データアノテーション市場は二手に割れた — Scale AI・Labelbox のようなエンタープライズ・マネージドプラットフォームと、CVAT・Label Studio のような OSS セルフホストである。そこに SAM 2・Grounding DINO といったファウンデーションモデルが割り込み、「アノテーター1人が1日に10倍の仕事をこなす」状況が生まれた。この記事は25のツールを8つのカテゴリに整理し、自動運転・医療画像・LLM RLHF・日本語 NER のそれぞれで何を選ぶべきかまで踏み込む。 Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) data-annotationlabelinglabelboxv7cvatroboflowencordsuperannotatesuperviselyscale-ailabel-studio日本語 https://www.youngju.dev/blog/culture/2026-05-16-ai-data-annotation-labeling-tools-2026-labelbox-v7-cvat-roboflow-encord-superannotate-supervisely-scale-ai-deep-dive https://www.youngju.dev/blog/culture/2026-05-16-ai-data-annotation-labeling-tools-2026-labelbox-v7-cvat-roboflow-encord-superannotate-supervisely-scale-ai-deep-dive 2026년 AI 데이터 어노테이션 시장은 두 갈래로 갈라진다 — Scale AI·Labelbox 같은 엔터프라이즈 매니지드 플랫폼과 CVAT·Label Studio 같은 오픈소스 셀프호스팅. 여기에 SAM 2·Grounding DINO 같은 파운데이션 모델이 끼어들어 "어노테이터 한 명이 하루에 10배를 처리한다". 이 글은 25개 도구를 8개 카테고리로 묶고, 자율주행·의료·LLM RLHF·한국어 NER 각각에 무엇을 골라야 할지까지 정리한다. Sat, 16 May 2026 00:00:00 GMT fjvbn2003@gmail.com (Youngju Kim) data-annotationlabelinglabelboxv7cvatroboflowencordsuperannotatesuperviselyscale-ailabel-studio