Delineate Anything v2：一種用於田地劃界的全球基礎模型

摘要

精確的大規模農業田塊邊界劃定是確保糧食安全、供應鏈透明度及碳核算的基礎任務。儘管像SAM這類視覺基礎模型展現出卓越的零樣本能力，但在地理空間領域中，由於拓撲複雜性、農田紋理模式以及缺乏物理尺度感知，這些模型經常失效。本研究提出Delineate Anything v2，一個專為大面積田塊邊界繪製設計、可全球擴展的基礎模型。我們構建了FBIS-73M資料集，該資料集包含跨越61個國家、總計7300萬個實例的多解析度資料。為解決普遍存在的多田塊行政地塊合併問題，我們引入了一套解析度特定的資料整理流程，該流程利用拓撲影像空間適應來均質化合併後的地塊，並強化薄弱的物理邊界。此外，我們建立了一個新穎且經人工篩選的評估基準，涵蓋100個國家，用以評估獨立的零樣本泛化能力。結果顯示，Delineate Anything v2在mAP@0.5指標上超越了當前最先進的Delineate Anything框架0.284（相對提升103.3%），同時保持了適合快速國家及全球規模部署的執行速度——這在烏克蘭全國範圍製圖（603,000平方公里）中獲得驗證：僅需5.4小時即可在消費級工作站上完成。程式碼、預訓練權重、FBIS-73M資料集以及可直接使用的國家級向量邊界產品均已公開於https://github.com/Lavreniuk/Delineate-Anything。

English

Accurate agricultural field boundary delineation at large scale is a foundational task for food security, supply chain transparency, and carbon accounting. While vision foundation models like SAM show remarkable zero-shot capabilities, they frequently fail in geospatial domains due to topological complexity, cropland texturing patterns, and a lack of physical scale awareness. In this work, we introduce Delineate Anything v2, a globally scalable foundation model designed specifically for wide-area field boundary mapping. We construct FBIS-73M, a 73-million-instance multi-resolution dataset spanning 61 countries. To address the pervasive issue of multi-field administrative parcel merging, we introduce a resolution-specific data curation pipeline that leverages topological image-space adaptation to homogenize merged parcels and strengthen weak physical boundaries. Furthermore, we establish a novel, manually curated evaluation benchmark covering 100 countries to assess independent zero-shot generalization. Our results show that Delineate Anything v2 surpasses the current state-of-the-art, including the Delineate Anything framework, by 0.284 mAP@0.5 (+103.3% relative gain), while maintaining execution speeds suitable for rapid national- and global-scale deployment, as demonstrated by nationwide mapping of Ukraine (603,000 km^2) in 5.4 hours on a consumer-grade workstation. Code, pre-trained weights, the FBIS-73M dataset, and ready-to-use national-scale vector boundary products are publicly available at https://github.com/Lavreniuk/Delineate-Anything.