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README.md

@@ -42,6 +42,7 @@ Compared with the previously published HF YOLO11M baseline, this release improve
 | --- | --- | --- | --- | --- | --- |
 | [YOLO11M Question Segmentation v1](https://huggingface.co/erayyapagci/yolo11m-question-segmentation) | 116 MB / 20.1M params | 0.962 | 0.980 | 0.979 | 0.898 |
 | [YOLO26M Question Segmentation v2](https://huggingface.co/erayyapagci/yolo26m-question-segmentation-v2) | 168 MB / 21.8M params | 0.990 | 0.982 | 0.988 | 0.920 |
+| [YOLO26S Question Segmentation v2](https://huggingface.co/erayyapagci/yolo26s-question-segmentation-v2) | 20 MB / 9.9M params | 0.988 | 0.983 | 0.990 | 0.923 |
 | [YOLO26N Question Segmentation v2](https://huggingface.co/erayyapagci/yolo26n-question-segmentation-v2) | 5.3 MB / 2.5M params | 0.988 | 0.983 | 0.989 | 0.924 |
 
 ### Combined held-out test set
@@ -50,6 +51,7 @@ Compared with the previously published HF YOLO11M baseline, this release improve
 | --- | --- | --- | --- | --- | --- |
 | [YOLO11M Question Segmentation v1](https://huggingface.co/erayyapagci/yolo11m-question-segmentation) | 116 MB / 20.1M params | 0.962 | 0.973 | 0.984 | 0.900 |
 | [YOLO26M Question Segmentation v2](https://huggingface.co/erayyapagci/yolo26m-question-segmentation-v2) | 168 MB / 21.8M params | 0.987 | 0.978 | 0.992 | 0.957 |
+| [YOLO26S Question Segmentation v2](https://huggingface.co/erayyapagci/yolo26s-question-segmentation-v2) | 20 MB / 9.9M params | 0.988 | 0.991 | 0.993 | 0.963 |
 | [YOLO26N Question Segmentation v2](https://huggingface.co/erayyapagci/yolo26n-question-segmentation-v2) | 5.3 MB / 2.5M params | 0.991 | 0.988 | 0.993 | 0.962 |
 
 ### Benchmark graphs
@@ -61,7 +63,7 @@ Compared with the previously published HF YOLO11M baseline, this release improve
 
 From the confidence sweep used in this release:
 
-- Best benchmark confidence for YOLO26N is `conf=0.001` (highest mAP50-95 on both held-out test sets).
+- Best benchmark confidence for YOLO26S and YOLO26N is `conf=0.001` (highest mAP50-95 on both held-out test sets).
 - For practical inference, start with `conf=0.25`; use `conf=0.20` if you want fewer missed borderline boxes.
 
 ## Qualitative examples
@@ -71,7 +73,7 @@ The newer YOLO26 checkpoints improve most clearly in two cases:
 - Less false positives on pages with no questions.
 - Better recovery of harder placements such as one-row questions and questions that occupy an entire column.
 
-Example page with no saved questions: GT + YOLO11M Question Segmentation v1 + YOLO26M Question Segmentation v2 + YOLO26N Question Segmentation v2.
+Example page with no saved questions: GT + YOLO11M Question Segmentation v1 + YOLO26M Question Segmentation v2 + YOLO26S Question Segmentation v2 + YOLO26N Question Segmentation v2.
 
 ![No-question page comparison](comparison_examples/10__sourcepdf__yks_tyt_2025_kitapcik_d250__page_1.png)
 

confidence_sweep_summary.json

@@ -227,6 +227,82 @@
         "map50": 0.9887222792051488,
         "map50_95": 0.9239183687496076
       }
+    },
+    "yolo26s": {
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+          "recall": 0.9833648393194707,
+          "f1": 0.9854693433125395,
+          "map50": 0.9903779726746683,
+          "map50_95": 0.9225811498732996
+        },
+        {
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+          "precision": 0.987582874343383,
+          "recall": 0.9833648393194707,
+          "f1": 0.9854693433125395,
+          "map50": 0.9825272532502078,
+          "map50_95": 0.9146071058290323
+        },
+        {
+          "conf": 0.03,
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+          "recall": 0.9833648393194707,
+          "f1": 0.9854693433125395,
+          "map50": 0.9825272532502078,
+          "map50_95": 0.9146071058290323
+        },
+        {
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+          "map50_95": 0.9136743475847389
+        },
+        {
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+          "precision": 0.987582874343383,
+          "recall": 0.9833648393194707,
+          "f1": 0.9854693433125395,
+          "map50": 0.9825272532502078,
+          "map50_95": 0.9120618477934371
+        }
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+      "best_f1": {
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+        "precision": 0.987582874343383,
+        "recall": 0.9833648393194707,
+        "f1": 0.9854693433125395,
+        "map50": 0.9903779726746683,
+        "map50_95": 0.9225811498732996
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+      "best_recall": {
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+        "precision": 0.987582874343383,
+        "recall": 0.9833648393194707,
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+        "map50": 0.9903779726746683,
+        "map50_95": 0.9225811498732996
+      }
     }
   },
   "combined_test_dedup": {
@@ -457,6 +533,82 @@
         "map50": 0.9929416780895504,
         "map50_95": 0.9623558129996036
       }
+    },
+    "yolo26s": {
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+          "recall": 0.99078183680437,
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   }
 }