added yaml files in yolo_benchmark

.gitignore

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+*.png
+*.txt
+*.out
+*.pt
+*.cache
+*submit.sh
+object_detector_benchmark/yolo_benchmark/*
+!object_detector_benchmark/yolo_benchmark/
+!object_detector_benchmark/yolo_benchmark/*.yaml

object_detector_benchmark/yolo_benchmark/experiment.yaml

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+task: detect
+mode: train
+
+data: full_dataset.yaml
+model: yolo11n.pt 
+pretrained: True 
+name: yolo11n
+epochs: 100
+patience: 10
+batch: 5 
+imgsz: 640 
+device: 0
+workers: 8 
+name: train 
+optimizer: SGD 
+single_cls: True 
+cos_lr: False 
+verbose: True
+lr0: 0.01
+lrf: 0.0001
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+
+hsv_h: 0.0  # (float) image HSV-Hue augmentation (fraction)
+hsv_s: 0.0  # (float) image HSV-Saturation augmentation (fraction)
+hsv_v: 0.0  # (float) image HSV-Value augmentation (fraction)
+degrees: 0.0  # (float) image rotation (+/- deg)
+translate: 0.0  # (float) image translation (+/- fraction)
+scale: 0.0  # (float) image scale (+/- gain)
+shear: 0.0  # (float) image shear (+/- deg)
+perspective: 0.0  # (float) image perspective (+/- fraction), range 0-0.001
+flipud: 0.0  # (float) image flip up-down (probability)
+fliplr: 0.0  # (float) image flip left-right (probability)
+mosaic: 0.0  # (float) image mosaic (probability)
+mixup: 0.0  # (float) image mixup (probability)
+copy_paste: 0.0  # (float) segment copy-paste (probability)
+auto_augment: None
+erasing: 0.0
+crop_fraction: 0.0

object_detector_benchmark/yolo_benchmark/full_dataset.yaml

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+# full dataset path
+train: Paper1/8-calves/object_detector_benchmark/8_calves_yolo/train/images
+val: Paper1/8-calves/object_detector_benchmark/8_calves_yolo/val/images
+test: Paper1/8-calves/object_detector_benchmark/8_calves_yolo/test/images
+# Number of classes
+nc: 1
+
+# Class names
+names: ['calf']