{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T07:21:26.498Z","headline":"Delineate Anything v2：全球农田边界分割基础模型","description":"Delineate Anything v2 专为全球农田边界分割设计，在覆盖100国的评测基准上以0.284 mAP@0.5（相对提升103.3%）超越前代。该模型基于61国、7300万实例的FBIS-73M数据集训练，可在消费级工作站上5.4小时内完成乌克兰全境制图，代码与权重已开源。","url":"https://www.aioga.com/news/cmrvucxqo010abipzm1kfn1qz/","mainEntityOfPage":"https://www.aioga.com/news/cmrvucxqo010abipzm1kfn1qz/","datePublished":"2026-07-21T00:00:00.000Z","dateModified":"2026-07-21T00:00:00.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://arxiv.org/abs/2607.19069","https://aihot.virxact.com/items/cmrvucxqo010abipzm1kfn1qz"],"canonicalUrl":"https://www.aioga.com/news/cmrvucxqo010abipzm1kfn1qz/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：Delineate Anything v2 专为全球农田边界分割设计，在覆盖100国的评测基准上以0.284 mAP@0.5（相对提升103.3%）超越前代。 Aioga 将其归入「论文研究」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cmrvucxqo010abipzm1kfn1qz/","dateCreated":"2026-07-21T00:00:00.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"arXiv source article","url":"https://arxiv.org/abs/2607.19069","datePublished":"2026-07-21T00:00:00.000Z","provider":{"@type":"Organization","name":"arXiv","url":"https://arxiv.org/abs/2607.19069"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmrvucxqo010abipzm1kfn1qz","datePublished":"2026-07-21T00:00:00.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmrvucxqo010abipzm1kfn1qz"}}],"aggregationSource":"HuggingFace Daily Papers（社区热门论文）","originalPublisher":{"name":"arXiv","url":"https://arxiv.org/abs/2607.19069"},"article":{"id":"cmrvucxqo010abipzm1kfn1qz","slug":"cmrvucxqo010abipzm1kfn1qz","url":"https://www.aioga.com/news/cmrvucxqo010abipzm1kfn1qz/","title":"Delineate Anything v2：全球农田边界分割基础模型","title_en":"Delineate Anything v2： A Global Foundation Model for Field Delineation","summary":"Delineate Anything v2 专为全球农田边界分割设计，在覆盖100国的评测基准上以0.284 mAP@0.5（相对提升103.3%）超越前代。该模型基于61国、7300万实例的FBIS-73M数据集训练，可在消费级工作站上5.4小时内完成乌克兰全境制图，代码与权重已开源。","source":"HuggingFace Daily Papers（社区热门论文）","sourceUrl":"https://arxiv.org/abs/2607.19069","aiHotUrl":"https://aihot.virxact.com/items/cmrvucxqo010abipzm1kfn1qz","publishedAt":"2026-07-21T00:00:00.000Z","category":"论文研究","score":59,"selected":false,"articleBody":["arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.","Have an idea for a project that will add value for arXiv's community? 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The model is trained on the FBIS-73M dataset, which contains 73 million instances from 61 countries, and can complete mapping of the entire territory of Ukraine on a consumer-grade workstation in 5.4 hours. The code and weights have been open-sourced.","category":"Research","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Global Farmland Boundary Segmentation Foundation Model - Aioga AI News","description":"Delineate Anything v2 is specifically designed for global farmland boundary segmentation and surpasses its predecessor with 0.284 mAP@0.5 (a relative improvement of 103.3%) on a be...","url":"https://www.aioga.com/en/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:22:53.623Z"},"ja":{"title":"Delineate Anything v2：世界の農地境界分割基盤モデル","summary":"Delineate Anything v2は、世界中の農地境界の分割専用に設計されており、100か国をカバーする評価ベンチマークで0.284 mAP@0.5（前世代比で103.3％向上）を達成しました。このモデルは、61か国、7300万のインスタンスを含むFBIS-73Mデータセットで訓練されており、コンシューマー向けワークステーションでも5.4時間でウクライナ全土のマッピングを完了できます。コードとモデルの重みはオープンソース化されています。","category":"論文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2：世界の農地境界分割基盤モデル - Aioga AIニュース","description":"Delineate Anything v2は、世界中の農地境界の分割専用に設計されており、100か国をカバーする評価ベンチマークで0.284 mAP@0.5（前世代比で103.3％向上）を達成しました。このモデルは、61か国、7300万のインスタンスを含むFBIS-73Mデータセットで訓練されており、コンシューマー向けワークステーションでも5.4時間でウクラ...","url":"https://www.aioga.com/ja/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:23:03.253Z"},"ko":{"title":"Delineate Anything v2: 전 세계 농지 경계 분할 기본 모델","summary":"Delineate Anything v2는 전 세계 농지 경계 분할을 위해 설계되었으며, 100개국을 포함한 평가 기준에서 0.284 mAP@0.5(상대적으로 103.3% 향상)로 이전 버전을 능가했습니다. 이 모델은 61개국, 7,300만 개 인스턴스의 FBIS-73M 데이터셋으로 학습되었으며, 소비자용 워크스테이션에서 5.4시간 내에 우크라이나 전체 지형 지도를 완성할 수 있습니다. 코드와 가중치도 공개되었습니다.","category":"연구","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: 전 세계 농지 경계 분할 기본 모델 - Aioga AI 뉴스","description":"Delineate Anything v2는 전 세계 농지 경계 분할을 위해 설계되었으며, 100개국을 포함한 평가 기준에서 0.284 mAP@0.5(상대적으로 103.3% 향상)로 이전 버전을 능가했습니다. 이 모델은 61개국, 7,300만 개 인스턴스의 FBIS-73M 데이터셋으로 학습되었으며, 소비자용 워크스테이션에서...","url":"https://www.aioga.com/ko/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:23:44.753Z"},"es":{"title":"Delineate Anything v2: Modelo básico de segmentación de los límites de las tierras agrícolas a nivel mundial","summary":"Delineate Anything v2 está diseñado específicamente para la segmentación de límites de tierras agrícolas a nivel mundial, y supera a la versión anterior con un mAP@0.5 de 0.284 (mejora relativa del 103,3%) en un conjunto de pruebas que abarca 100 países. Este modelo se entrenó con el conjunto de datos FBIS-73M, que incluye 73 millones de instancias de 61 países, y puede completar la cartografía de todo el territorio de Ucrania en 5,4 horas en una estación de trabajo de consumo. El código y los pesos han sido de código abierto.","category":"Investigación","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Modelo básico de segmentación de los límites de las tierras agrícolas a nivel mundial - Aioga Noticias de IA","description":"Delineate Anything v2 está diseñado específicamente para la segmentación de límites de tierras agrícolas a nivel mundial, y supera a la versión anterior con un mAP@0.5 de 0.284 (me...","url":"https://www.aioga.com/es/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:23:41.880Z"},"fr":{"title":"Delineate Anything v2 : Modèle de base pour la segmentation des limites des terres agricoles à l'échelle mondiale","summary":"Delineate Anything v2 est spécialement conçu pour la segmentation des frontières agricoles à l'échelle mondiale et dépasse la génération précédente avec un mAP@0.5 de 0,284 sur un ensemble de tests couvrant 100 pays (amélioration relative de 103,3%). Ce modèle est entraîné sur le jeu de données FBIS-73M comprenant 73 millions d'instances provenant de 61 pays, et peut réaliser une cartographie complète de l'Ukraine en 5,4 heures sur une station de travail grand public. Le code et les poids ont été rendus open source.","category":"Recherche","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2 : Modèle de base pour la segmentation des limites des terres agricoles à l'échelle mondiale - Aioga Actualités IA","description":"Delineate Anything v2 est spécialement conçu pour la segmentation des frontières agricoles à l'échelle mondiale et dépasse la génération précédente avec un mAP@0.5 de 0,284 sur un...","url":"https://www.aioga.com/fr/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:24:23.824Z"},"de":{"title":"Delineate Anything v2: Globale Basis-Modell zur Segmentierung von Ackergrenzen","summary":"Delineate Anything v2 ist speziell für die Segmentierung von landwirtschaftlichen Feldgrenzen weltweit entwickelt und übertrifft die Vorgängerversion auf Benchmark-Tests, die 100 Länder abdecken, mit 0,284 mAP@0,5 (eine relative Steigerung von 103,3%). Das Modell wurde anhand des FBIS-73M-Datensatzes trainiert, der 73 Millionen Instanzen aus 61 Ländern enthält, und kann die Kartierung der gesamten Ukraine in 5,4 Stunden auf einer handelsüblichen Workstation durchführen. Der Code und die Gewichte wurden veröffentlicht.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Globale Basis-Modell zur Segmentierung von Ackergrenzen - Aioga KI-News","description":"Delineate Anything v2 ist speziell für die Segmentierung von landwirtschaftlichen Feldgrenzen weltweit entwickelt und übertrifft die Vorgängerversion auf Benchmark-Tests, die 100 L...","url":"https://www.aioga.com/de/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:24:24.380Z"},"pt-BR":{"title":"Delineate Anything v2: Modelo básico de segmentação de fronteiras agrícolas globais","summary":"Delineate Anything v2 foi projetado especificamente para a segmentação de limites de terrenos agrícolas em todo o mundo, superando a geração anterior com 0,284 mAP@0,5 (aumento relativo de 103,3%) em benchmarks que cobrem 100 países. O modelo foi treinado com o conjunto de dados FBIS-73M, contendo 73 milhões de instâncias de 61 países, e pode completar o mapeamento de toda a Ucrânia em 5,4 horas em uma estação de trabalho de nível consumidor, com código e pesos já disponibilizados como open source.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Modelo básico de segmentação de fronteiras agrícolas globais - Aioga Notícias de IA","description":"Delineate Anything v2 foi projetado especificamente para a segmentação de limites de terrenos agrícolas em todo o mundo, superando a geração anterior com 0,284 mAP@0,5 (aumento rel...","url":"https://www.aioga.com/pt-BR/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:25:03.501Z"},"ru":{"title":"Delineate Anything v2: Базовая модель сегментации границ сельскохозяйственных угодий в мире","summary":"Delineate Anything v2 специально разработан для сегментации границ сельскохозяйственных земель по всему миру и превзошел предшественника с показателем 0,284 mAP@0,5 (относительное улучшение на 103,3%) на эталонной оценочной базе, охватывающей 100 стран. Эта модель обучена на наборе данных FBIS-73M, состоящем из 73 миллионов объектов из 61 страны, и может завершить картографирование всей территории Украины за 5,4 часа на рабочей станции потребительского уровня. Код и веса модели были открыты.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Базовая модель сегментации границ сельскохозяйственных угодий в мире - Aioga Новости ИИ","description":"Delineate Anything v2 специально разработан для сегментации границ сельскохозяйственных земель по всему миру и превзошел предшественника с показателем 0,284 mAP@0,5 (относительное...","url":"https://www.aioga.com/ru/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:25:07.181Z"},"ar":{"title":"Delineate Anything v2: النموذج الأساسي لتقسيم حدود الأراضي الزراعية العالمية","summary":"تم تصميم Delineate Anything v2 خصيصًا لتقسيم حدود الأراضي الزراعية على مستوى العالم، وقد تفوق على الجيل السابق بمؤشر 0.284 mAP@0.5 (بزيادة نسبية 103.3%) على معيار التقييم الذي يغطي 100 دولة. تم تدريب هذا النموذج على مجموعة بيانات FBIS-73M التي تضم 73 مليون مثال من 61 دولة، ويمكنه إكمال رسم خرائط كامل لأوكرانيا على محطة عمل للمستهلكين في غضون 5.4 ساعات، وقد تم فتح الكود والأوزان المصدرية.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: النموذج الأساسي لتقسيم حدود الأراضي الزراعية العالمية - Aioga أخبار الذكاء الاصطناعي","description":"تم تصميم Delineate Anything v2 خصيصًا لتقسيم حدود الأراضي الزراعية على مستوى العالم، وقد تفوق على الجيل السابق بمؤشر 0.284 mAP@0.5 (بزيادة نسبية 103.3%) على معيار التقييم الذي يغطي...","url":"https://www.aioga.com/ar/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:25:52.036Z"},"hi":{"title":"Delineate Anything v2：ग्लोबल कृषि भूमि की सीमा विभाजन का बेसिक मॉडल","summary":"Delineate Anything v2 विशेष रूप से विश्वभर के कृषि क्षेत्रों की सीमा को विभाजित करने के लिए डिज़ाइन किया गया है, और 100 देशों को कवर करने वाले मूल्यांकन मानक पर 0.284 mAP@0.5 (सापेक्ष वृद्धि 103.3%) के साथ पिछले संस्करण से आगे बढ़ गया। यह मॉडल 61 देशों और 7300 लाख उदाहरणों वाले FBIS-73M डेटासेट पर प्रशिक्षित है, और उपभोक्ता-स्तरीय वर्कस्टेशन पर 5.4 घंटे में यूक्रेन के पूरे क्षेत्र की मैपिंग कर सकता है, कोड और वज़न खुले स्रोत में उपलब्ध हैं।","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2：ग्लोबल कृषि भूमि की सीमा विभाजन का बेसिक मॉडल - Aioga AI समाचार","description":"Delineate Anything v2 विशेष रूप से विश्वभर के कृषि क्षेत्रों की सीमा को विभाजित करने के लिए डिज़ाइन किया गया है, और 100 देशों को कवर करने वाले मूल्यांकन मानक पर 0.284 mAP@0.5 (सापे...","url":"https://www.aioga.com/hi/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:25:51.927Z"},"it":{"title":"Delineate Anything v2: Modello di base per la segmentazione dei confini dei terreni agricoli globali","summary":"Delineate Anything v2 è progettato appositamente per la segmentazione dei confini agricoli a livello globale e ha superato la versione precedente con 0,284 mAP@0,5 (incremento relativo del 103,3%) su un benchmark che copre 100 paesi. Il modello è stato addestrato sul dataset FBIS-73M, che include 61 paesi e 73 milioni di istanze, e può completare la mappatura dell'intera Ucraina in 5,4 ore su una workstation consumer, con codice e pesi già resi open source.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Modello di base per la segmentazione dei confini dei terreni agricoli globali - Aioga Notizie IA","description":"Delineate Anything v2 è progettato appositamente per la segmentazione dei confini agricoli a livello globale e ha superato la versione precedente con 0,284 mAP@0,5 (incremento rela...","url":"https://www.aioga.com/it/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:26:31.069Z"},"nl":{"title":"Delineate Anything v2: Wereldwijd basismodel voor het segmenteren van landbouwgrenzen","summary":"Delineate Anything v2 is speciaal ontworpen voor het segmenteren van landbouwgrenzen wereldwijd en behaalt op benchmarktests die 100 landen bestrijken een score van 0,284 mAP@0,5 (een relatieve stijging van 103,3%) ten opzichte van de vorige generatie. Het model is getraind op de FBIS-73M dataset met 73 miljoen voorbeelden uit 61 landen en kan in 5,4 uur de gehele kaart van Oekraïne op een consumentenwerkstation voltooien. De code en gewichten zijn open source beschikbaar.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Wereldwijd basismodel voor het segmenteren van landbouwgrenzen - Aioga AI-nieuws","description":"Delineate Anything v2 is speciaal ontworpen voor het segmenteren van landbouwgrenzen wereldwijd en behaalt op benchmarktests die 100 landen bestrijken een score van 0,284 mAP@0,5 (...","url":"https://www.aioga.com/nl/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:26:31.538Z"},"tr":{"title":"Delineate Anything v2: Küresel Tarım Arazisi Sınırları Bölme Temel Modeli","summary":"Delineate Anything v2, dünya genelindeki tarım arazisi sınırlarını segmentlemek için tasarlanmıştır ve 100 ülkeyi kapsayan değerlendirme ölçütünde 0.284 mAP@0.5 (yüzde 103,3 göreceli artış) ile selefini geride bırakmıştır. Bu model, 61 ülke ve 73 milyon örnekten oluşan FBIS-73M veri seti üzerinde eğitilmiş olup, tüketici sınıfı bir iş istasyonunda Ukrayna'nın tamamının haritalandırılmasını 5,4 saat içinde tamamlayabilir; kod ve ağırlıklar açık kaynak olarak sağlanmıştır.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Küresel Tarım Arazisi Sınırları Bölme Temel Modeli - Aioga AI Haberleri","description":"Delineate Anything v2, dünya genelindeki tarım arazisi sınırlarını segmentlemek için tasarlanmıştır ve 100 ülkeyi kapsayan değerlendirme ölçütünde 0.284 mAP@0.5 (yüzde 103,3 görece...","url":"https://www.aioga.com/tr/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:27:13.497Z"},"vi":{"title":"Delineate Anything v2: Mô hình cơ bản phân đoạn biên giới đồng ruộng toàn cầu","summary":"Delineate Anything v2 được thiết kế đặc biệt để phân đoạn ranh giới đất nông nghiệp trên toàn cầu, vượt qua thế hệ trước với 0,284 mAP@0,5 (tăng tương đối 103,3%) trên bộ đánh giá bao phủ 100 quốc gia. Mô hình này được huấn luyện dựa trên bộ dữ liệu FBIS-73M gồm 61 quốc gia và 73 triệu thực thể, có thể hoàn thành việc lập bản đồ toàn bộ lãnh thổ Ukraine trong 5,4 giờ trên máy trạm tiêu dùng, mã nguồn và trọng số đã được công khai.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Mô hình cơ bản phân đoạn biên giới đồng ruộng toàn cầu - Tin tức AI Aioga","description":"Delineate Anything v2 được thiết kế đặc biệt để phân đoạn ranh giới đất nông nghiệp trên toàn cầu, vượt qua thế hệ trước với 0,284 mAP@0,5 (tăng tương đối 103,3%) trên bộ đánh giá...","url":"https://www.aioga.com/vi/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:27:11.291Z"},"id":{"title":"Delineate Anything v2: Model Dasar Segmentasi Batas Lahan Pertanian Global","summary":"Delineate Anything v2 dirancang khusus untuk segmentasi batas lahan pertanian di seluruh dunia, dengan 0,284 mAP@0,5 pada standar evaluasi yang mencakup 100 negara (peningkatan relatif 103,3%) melampaui generasi sebelumnya. Model ini dilatih berdasarkan dataset FBIS-73M yang mencakup 61 negara dan 73 juta instance, dapat menyelesaikan pemetaan seluruh Ukraina dalam 5,4 jam di workstation kelas konsumen, kode dan bobotnya telah dibuka untuk umum.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: Model Dasar Segmentasi Batas Lahan Pertanian Global - Berita AI Aioga","description":"Delineate Anything v2 dirancang khusus untuk segmentasi batas lahan pertanian di seluruh dunia, dengan 0,284 mAP@0,5 pada standar evaluasi yang mencakup 100 negara (peningkatan rel...","url":"https://www.aioga.com/id/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:27:52.472Z"},"th":{"title":"Delineate Anything v2：โมเดลพื้นฐานสำหรับการแบ่งเขตขอบเขตแปลงเกษตรทั่วโลก","summary":"Delineate Anything v2 ออกแบบมาโดยเฉพาะสำหรับการแบ่งเขตแดนฟาร์มทั่วโลก ในการประเมินมาตรฐานที่ครอบคลุม 100 ประเทศ ทำคะแนนได้ 0.284 mAP@0.5 (เพิ่มขึ้น 103.3% เมื่อเทียบกับรุ่นก่อน) โมเดลนี้ถูกฝึกด้วยชุดข้อมูล FBIS-73M ที่มี 61 ประเทศ และ 73 ล้านอินสแตนซ์ สามารถทำแผนที่ทั่วประเทศยูเครนได้ใน 5.4 ชั่วโมงบนสถานีงานระดับผู้บริโภค โค้ดและน้ำหนักโมเดลได้เปิดเผยสู่สาธารณะแล้ว","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2：โมเดลพื้นฐานสำหรับการแบ่งเขตขอบเขตแปลงเกษตรทั่วโลก - ข่าว AI Aioga","description":"Delineate Anything v2 ออกแบบมาโดยเฉพาะสำหรับการแบ่งเขตแดนฟาร์มทั่วโลก ในการประเมินมาตรฐานที่ครอบคลุม 100 ประเทศ ทำคะแนนได้ 0.284 mAP@0.5 (เพิ่มขึ้น 103.3% เมื่อเทียบกับรุ่นก่อน) โม...","url":"https://www.aioga.com/th/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:27:59.135Z"},"pl":{"title":"Delineate Anything v2: globalny model podstawowy do segmentacji granic pól uprawnych","summary":"Delineate Anything v2 został zaprojektowany specjalnie do segmentacji granic pól na całym świecie, osiągając na benchmarku obejmującym 100 krajów 0,284 mAP@0,5 (wzrost względny o 103,3%) i przewyższając poprzednią generację. Model jest trenowany na zestawie danych FBIS-73M obejmującym 61 krajów i 73 miliony przykładów, i może w ciągu 5,4 godziny wykonać mapowanie całej Ukrainy na stacji roboczej klasy konsumenckiej; kod i wagi zostały udostępnione w open source.","category":"论文研究","source":"HuggingFace Daily Papers（社区热门论文）","aggregationSource":"HuggingFace Daily Papers（社区热门论文）","pageTitle":"Delineate Anything v2: globalny model podstawowy do segmentacji granic pól uprawnych - Aioga Wiadomości AI","description":"Delineate Anything v2 został zaprojektowany specjalnie do segmentacji granic pól na całym świecie, osiągając na benchmarku obejmującym 100 krajów 0,284 mAP@0,5 (wzrost względny o 1...","url":"https://www.aioga.com/pl/news/cmrvucxqo010abipzm1kfn1qz/","contentTranslated":true,"sourceHash":"28076800ad9af3a9","translatedAt":"2026-07-22T23:28:47.055Z"}}}}