Upload model card and dataset checkpoints

README.md

@@ -21,7 +21,7 @@ model. Each checkpoint must be loaded together with the official SAM ViT-H
 checkpoint `sam_vit_h_4b8939.pth` using the matching test script.
 
 Source code:
-https://github.com/WUT-AI-AI4Mat/microstructure-segmentation-benchmark
+https://github.com/WUT-AI-AI4Mat/Segmentation-methods-evaluation-for-quantitative-microstructure-analysis
 
 ## Fine-Tuning Routes and Checkpoints
 
@@ -85,8 +85,9 @@ For Grain, use `--method-type 1`. For other metallographic datasets, use
 
 The original automatic-mask path uses `n_per_side_base=54`,
 `pred_iou_thresh=0.88`, `stability_score_thresh=0.9`,
-`box_nms_thresh=0.7`, and `crop_n_layers=0`. The binary fine-tuned path uses
-point prompts and thresholds of 0.7 for predicted IoU and stability score.
+`box_nms_thresh=0.7`, `crop_nms_thresh=0.7`, and `crop_n_layers=0`. The binary
+fine-tuned path uses point prompts and thresholds of 0.7 for predicted IoU and
+stability score.
 
 ## Evaluation, Intended Use, and Limitations
 

checkpoint_manifest.json

@@ -1,6 +1,6 @@
 {
   "model": "MatSAM",
-  "source_code": "https://github.com/WUT-AI-AI4Mat/microstructure-segmentation-benchmark",
+  "source_code": "https://github.com/WUT-AI-AI4Mat/Segmentation-methods-evaluation-for-quantitative-microstructure-analysis",
   "checkpoint_count": 7,
   "checkpoints": [
     {