Merge pull request #26154 from cabelo:yolov5l

Added and tested yolov5l model. #26154

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [X] The PR is proposed to the proper branch
- [X] There is a reference to the original bug report and related work
- [X] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [X] The feature is well documented and sample code can be built with the project CMake

Below is evidence of the test:

![v5l](https://github.com/user-attachments/assets/f31eff0b-11fc-44de-bdaf-640e67d1d924)

samples/dnn/models.yml

@@ -90,6 +90,23 @@ yolov8l:
   background_label_id: 0
   sample: "yolo_detector"
 
+# YOLOv5 object detection family from ultralytics (https://github.com/ultralytics/ultralytics)
+# Might be used for all YOLOv5n YOLOv5s YOLOv5m YOLOv5l and YOLOv5x
+
+yolov5l:
+  load_info:
+    url: "https://github.com/CVHub520/X-AnyLabeling/releases/download/v0.1.0/yolov5l.onnx"
+    sha1: "9de7e54c524b7fe7577bbd4cdbbdaed53375c8f1"
+  model: "yolov5l.onnx"
+  mean: 0.0
+  scale: 0.00392
+  width: 640
+  height: 640
+  rgb: true
+  classes: "object_detection_classes_yolo.txt"
+  background_label_id: 0
+  sample: "yolo_detector"
+
 # YOLO4 object detection family from Darknet (https://github.com/AlexeyAB/darknet)
 # YOLO object detection family from Darknet (https://pjreddie.com/darknet/yolo/)
 # Might be used for all YOLOv2, TinyYolov2, YOLOv3, YOLOv4 and TinyYolov4