# Evaluating the Efficacy of Segment Anything Model for
## 4 Result
### Same Resolution with Different Study Area Size
In the case of low-resolution areas, the segmentation results for urban green belts are not as favorable. Figure 19: The 3 m resolution image test results for different sizes. Graphs 1, 5, 6, 7, 8, and 9 in dataset J were utilized to extract general cropland areas, while Graphs 2, 3, and 4 were dedicated to extracting public green areas in an urban context. Different colors in the Unsupervised panel represent different segmentation polygons. Figure 18: The 1 m resolution image test results for different sizes. Graphs 1, 2, 3, 4, 5, 6, and 7 in dataset I were utilized to extract general cropland areas, while Graph 9 was dedicated to extracting greenfield areas in an urban context, and Graph 8 was dedicated to extracting cropland areas in an urban context. Different colors in the Unsupervised panel represent different segmentation polygons. Figure 21: The 20 m resolution image test results for different sizes. Graphs 1–9 in dataset L were utilized to extract general cropland areas. Different colors in the Unsupervised panel represent different segmentation polygons. Figure 20: The 10 m resolution image test results for different sizes. Graphs 1, 3, 7, 8, and 9 in dataset K were utilized to extract general cropland areas, while Graph 2 was dedicated to extracting public green areas in an urban context, and Graphs 4, 5, and 6 were dedicated to extracting cropland areas in an urban context. Different colors in the Unsupervised panel represent different segmentation polygons. Figure 23: Visualization of test results for different study area sizes at the same resolution (unsupervised). DATA NO. represents the number of images used for each data resolution type. Each data point in the figure is identified by a unique number. The bidirectional arrows at the bottom of the figure signify those points within the arrow range, irrespective of their shape, corresponding to the associated resolution. Figure 21.0 The 30 m resolution image test results for different sizes. Graphs 1–9 in dataset M were utilized to extract general cropland areas. Different colors in the Unsupervised panel represent different segmentation polygons. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Resolution** & \begin{tabular}{c} **Serial** \\ **Number** \\ \end{tabular}  & **Area Size** & **Unsupervised (SAE)** & **Conditional (SAE)** \\ \hline \multirow{8}{*}{0.5 m} & H\_1 & 1250 \(\times\) 1250 (Small) & 0.94 & 0.98 \\  & H\_2 & 1250 \(\times\) 1250 (Small) & 0.56 & 0.94 \\  & H\_3 & 1250 \(\times\) 1250 (Small) & 0.92 & 0.98 \\  & H\_4 & 2500 \(\times\) 2500 (Medium) & 0.94 & 0.96 \\  & H\_5 & 2500 \(\times\) 2500 (Medium) & 0.92 & 0.96 \\  & H\_6 & 2500 \(\times\) 2500 (Medium) & 0.74 & 0.98 \\  & H\_7 & 5000 \(\times\) 5000 (Large) & 0.94 & 0.96 \\  & H\_8 & 5000 \(\times\) 5000 (Large) & 0.46 & 0.64 \\  & H\_9 & 5000 \(\times\) 5000 (Large) & 0.94 & 0.98 \\  & I\_1 & 1250 \(\times\) 1250 (Small) & 0.94 & 0.96 \\  & I\_2 & 1250 \(\times\) 1250 (Small) & 0.98 & 0.98 \\  & I\_3 & 1250 \(\times\) 1250 (Small) & 1 & 0.98 \\  & I\_4 & 2500 \(\times\) 2500 (Medium) & 0.98 & 1 \\  & I\_5 & 2500 \(\times\) 2500 (Medium) & 0.96 & 1 \\  & I\_6 & 2500 \(\times\) 2500 (Medium) & 1 & 1 \\  & I\_7 & 5000 \(\times\) 5000 (Large) & 0.92 & 1 \\  & I\_8 & 5000 \(\times\) 5000 (Large) & 0.54 & 0.52 \\  & I\_9 & 5000 \(\times\) 5000 (Large) & 0.94 & 0.98 \\  & J\_1 & 1250 \(\times\) 1250 (Small) & 0.44 & 0.94 \\  & J\_2 & 1250 \(\times\) 1250 (Small) & 0.94 & 0.96 \\  & J\_3 & 1250 \(\times\) 1250 (Small) & 0.96 & 0.98 \\  & J\_4 & 2500 \(\times\) 2500 (Medium) & 0.94 & 1 \\
3 m & J\_5 & 2500 \(\times\) 2500 (Medium) & 0.74 & 0.98 \\  & J\_6 & 2500 \(\times\) 2500 (Medium) & 0.44 & 0.84 \\  & J\_7 & 5000 \(\times\) 5000 (Large) & 0.74 & 0.88 \\  & J\_8 & 5000 \(\times\) 5000 (Large) & 0.56 & 0.84 \\  & J\_9 & 5000 \(\times\) 5000 (Large) & 0.44 & 0.88 \\  & K\_1 & 1250 \(\times\) 1250 (Small) & 0.68 & 0.94 \\  & K\_2 & 1250 \(\times\) 125