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Evidence record 12659 · automatically gathered

Delineate Anything v2: A Global Foundation Model for Field Delineation

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-are

Record details

Published: 20 July 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Transparency · Environment
Retrieved: 23 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (20 July 2026), “Delineate Anything v2: A Global Foundation Model for Field Delineation,” evidence record 12659, https://ethics.ai/record/12659 (originally published by HuggingFace Daily Papers).

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