model metadata

README.md

@@ -1,3 +1,53 @@
+---
+task_categories:
+- object-detection
+tags:
+- yolo
+- yolo11
+- hardhat
+- hat
+base_model:
+- Ultralytics/YOLO11
+widget:
+  - text: "Helmet detection"
+    output:
+      url: example.png
+pipeline_tag: object-detection
+model-index:
+- name: hardhat-or-hat
+  results:
+  - task:
+      type: object-detection
+    dataset:
+      type: safety-equipment
+      name: Safety Equipment
+      args:
+        epochs: 65
+        batch: 16
+        imgsz: 640
+        patience: 15
+        optimizer: 'SGD'
+        lr0: 0.001
+        lrf: 0.01
+        momentum: 0.9
+        weight_decay: 0.0005
+        warmup_epochs: 3
+        warmup_bias_lr: 0.01
+        warmup_momentum: 0.8
+    metrics:
+    - type: precision
+      name: Precision
+      value: 0.89279
+    - type: recall
+      name: Recall
+      value: 0.89279
+    - type: mAP50
+      name: mAP50
+      value: 0.56717
+    - type: mAP50-95
+      name: mAP50-95
+      value: 0.56717
+---
 
 # Model for detecting Hardhats and Hats
 

v1/train-val/.~lock.results.csv#

@@ -0,0 +1 @@
+,larizmen,hal9k,24.03.2025 15:34,file:///var/home/larizmen/.var/app/org.libreoffice.LibreOffice/config/libreoffice/4;