MAgSeg is a decoder-free MLLM approach that uses a new instruction-tuning format to segment complex smallholder agricultural landscapes directly from high-resolution satellite imagery.
C Evaluation Metrics Following [Duaet al., 2024 ], for instance-wise metrics, we merge and match multiple predictions that overlap with a ground truth instance
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MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models
MAgSeg is a decoder-free MLLM approach that uses a new instruction-tuning format to segment complex smallholder agricultural landscapes directly from high-resolution satellite imagery.