Orchestrating segment anything models to accelerate segmentation annotation on agricultural image datasets
Increasingly many applications of machine vision and artificial intelligence (AI) can be observed in agriculture. Yet, high-quality training data remains a bottleneck in the development of many AI solutions, particularly for image segmentation. Therefore, ARAMSAM (agricultural rapid annotation modul...
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| Główni autorzy: | , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Frontiers Media S.A.
2026-01-01
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| Seria: | Frontiers in Artificial Intelligence |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.frontiersin.org/articles/10.3389/frai.2025.1748468/full |
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