Upload model card and dataset checkpoints

README.md

@@ -21,7 +21,7 @@ the exact `sam2.1_hiera_base_plus.pt` base checkpoint and
 `configs/sam2.1/sam2.1_hiera_b+.yaml`.
 
 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
 
@@ -81,9 +81,9 @@ class count from the table.
 ## Inference Parameters
 
 Automatic mask generation uses `points_per_side=32`, `points_per_batch=64`,
-`pred_iou_thresh=0.8`, `stability_score_thresh=0.8`, and `crop_n_layers=0`.
-Padded regions are removed before predictions are restored to the original
-image size.
+`pred_iou_thresh=0.8`, `stability_score_thresh=0.8`, `box_nms_thresh=0.7`, and
+`crop_n_layers=0`. Padded regions are removed before predictions are restored
+to the original image size.
 
 ## Evaluation, Intended Use, and Limitations
 

checkpoint_manifest.json

@@ -1,6 +1,6 @@
 {
   "model": "SAM2.1 Hiera Base+",
-  "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": [
     {