{"@type":"StructuredNewsArticle","access":{"license":"neupai_standard","structured_data":"free","full_text_access":null,"full_text_available":false,"attribution_required":true},"content":{"claims":[{"id":"c1","type":"fact","as_of":"2026-03","figures":null,"insight":null,"as_of_raw":"2026년 3월","statement":"허깅페이스에 공식 등재된 멀티모달 OCR 벤치마크 'OCRBench v2'의 2026년 3월 영어 부문 평가에서 종합 점수 68.1점을 기록하며 1위를 차지했다","comparison":null,"expiry_hint":null,"source_type":"company_disclosure","as_of_explicit":true},{"id":"c2","type":"fact","as_of":"2026-04","figures":null,"insight":null,"as_of_raw":"2026년 4월","statement":"OCRBench v2는 단순 문자 인식을 넘어 레이아웃 분석, 수식과 도표 해석, 논리 추론 등 31개 시나리오를 평가하는 대규모 벤치마크다","comparison":null,"expiry_hint":null,"source_type":"company_disclosure","as_of_explicit":false},{"id":"c3","type":"fact","as_of":"2026-04","figures":null,"insight":null,"as_of_raw":"2026년 4월","statement":"이 평가는 사람이 직접 검증한 1만 건의 데이터셋과 별도 비공개 테스트셋을 함께 활용하는 방식으로 설계됐다","comparison":null,"expiry_hint":null,"source_type":"company_disclosure","as_of_explicit":false},{"id":"c4","type":"fact","as_of":"2026-03","figures":null,"insight":null,"as_of_raw":"2026년 3월","statement":"2위 모델인 제미나이 3 프로 프리뷰와 4.7점 차이를 기록했다","comparison":"second_place_model","expiry_hint":null,"source_type":"company_disclosure","as_of_explicit":false},{"id":"c5","type":"fact","as_of":"2019","figures":null,"insight":null,"as_of_raw":"2019년","statement":"2019년 설립된 한국딥러닝은 공공·기업용 시각지능 AI 솔루션을 공급하는 기업이다","comparison":null,"expiry_hint":null,"source_type":"company_disclosure","as_of_explicit":true},{"id":"c6","type":"fact","as_of":"2026-04","figures":null,"insight":null,"as_of_raw":"2026년 4월","statement":"OCR, 객체 검출, 영상 이해, 이미지 생성 등 다양한 비전 AI 기술을 80곳 이상의 공공·기업 고객에게 제공하고 있다","comparison":null,"expiry_hint":null,"source_type":"company_disclosure","as_of_explicit":false}],"topics":["인공지능","문서AI","OCR","기술평가","벤치마크"],"summary":"한국딥러닝이 허깅페이스 OCRBench v2 영어 부문에서 68.1점으로 1위를 차지하며 구글 제미나이를 제치고 아시아 기업 최초로 정상에 올랐다. 문서 특화 시각언어모델 'KDL 프론티어'로 환각 억제와 문서 구조 이해 능력을 입증했다.","entities":[{"name":"한국딥러닝","type":"company","metadata":{"parent":null,"ticker":null},"canonical_id":"corp:kr:korea-deeplearning","role_in_article":"primary_subject"},{"name":"허깅페이스","type":"company","metadata":{"parent":null,"ticker":null},"canonical_id":"corp:us:hugging-face","role_in_article":"mentioned"},{"name":"구글","type":"company","metadata":{"parent":null,"ticker":null},"canonical_id":"corp:us:google","role_in_article":"mentioned"},{"name":"오픈AI","type":"company","metadata":{"parent":null,"ticker":null},"canonical_id":"corp:us:openai","role_in_article":"mentioned"},{"name":"알리바바","type":"company","metadata":{"parent":null,"ticker":null},"canonical_id":"corp:cn:alibaba","role_in_article":"mentioned"},{"name":"앤트로픽","type":"company","metadata":{"parent":null,"ticker":null},"canonical_id":"corp:us:anthropic","role_in_article":"mentioned"},{"name":"김동현","type":"person","metadata":{"parent":null,"ticker":null},"canonical_id":"person:kr:kim-dong-hyun-kdl","role_in_article":"quoted"},{"name":"KDL 프론티어","type":"product","metadata":{"parent":null,"ticker":null},"canonical_id":"product:kr:kdl-frontier","role_in_article":"mentioned"},{"name":"DEEP Agent","type":"product","metadata":{"parent":null,"ticker":null},"canonical_id":"product:kr:deep-agent","role_in_article":"mentioned"}],"headline":"문서 AI 경쟁서 존재감 키운 한국딥러닝… 글로벌 OCR 평가서 선두 올라","geography":["KR"],"ai_emotional_context":{"arousal":0,"valence":0,"primary_emotions":[],"emotional_triggers":[],"secondary_emotions":[]}},"@context":"https://neupai.io/schema/v0.2","identity":{"ai_url":null,"author":"김광우 기자","language":"ko","publisher":{"name":"테크42","type":"online","domain":"tech42.co.kr"},"article_id":"tech42_20260421_korea-deeplearning-ocr-benchmark-first-place","updated_at":null,"originality":"self_produced","article_type":"straight_news","published_at":"2026-04-21T23:46:52.000Z","canonical_url":"https://www.tech42.co.kr/%eb%ac%b8%ec%84%9c-ai-%ea%b2%bd%ec%9f%81%ec%84%9c-%ec%a1%b4%ec%9e%ac%ea%b0%90-%ed%82%a4%ec%9a%b4-%ed%95%9c%ea%b5%ad%eb%94%a5%eb%9f%ac%eb%8b%9d-%ea%b8%80%eb%a1%9c%eb%b2%8c-ocr-%ed%8f%89/?utm_source=rss&utm_medium=rss&utm_campaign=%25eb%25ac%25b8%25ec%2584%259c-ai-%25ea%25b2%25bd%25ec%259f%2581%25ec%2584%259c-%25ec%25a1%25b4%25ec%259e%25ac%25ea%25b0%2590-%25ed%2582%25a4%25ec%259a%25b4-%25ed%2595%259c%25ea%25b5%25ad%25eb%2594%25a5%25eb%259f%25ac%25eb%258b%259d-%25ea%25b8%2580%25eb%25a1%259c%25eb%25b2%258c-ocr-%25ed%258f%2589"},"temporal":{"freshness":"recent","next_update_expected":null},"provenance":{"source_chain":["primary_reporting"],"related_articles":[],"original_source_url":null}}