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args.yaml

@@ -2,9 +2,9 @@ task: detect
 mode: train
 model: yolov8n.pt
 data: /content/dataset/data.yaml
-epochs: 200
+epochs: 100
 time: null
-patience: 50
+patience: 30
 batch: 128
 imgsz: 640
 save: true
@@ -23,7 +23,7 @@ deterministic: true
 single_cls: false
 rect: false
 cos_lr: false
-close_mosaic: 10
+close_mosaic: 0
 resume: false
 amp: true
 fraction: 1.0
@@ -86,24 +86,24 @@ kobj: 1.0
 rle: 1.0
 angle: 1.0
 nbs: 64
-hsv_h: 0.015
-hsv_s: 0.7
-hsv_v: 0.4
+hsv_h: 0.0
+hsv_s: 0.0
+hsv_v: 0.0
 degrees: 0.0
-translate: 0.1
-scale: 0.5
+translate: 0.0
+scale: 0.0
 shear: 0.0
 perspective: 0.0
 flipud: 0.0
-fliplr: 0.5
+fliplr: 0.0
 bgr: 0.0
-mosaic: 1.0
+mosaic: 0.0
 mixup: 0.0
 cutmix: 0.0
 copy_paste: 0.0
 copy_paste_mode: flip
-auto_augment: randaugment
-erasing: 0.4
+auto_augment: null
+erasing: 0.0
 cfg: null
 tracker: botsort.yaml
 save_dir: /content/runs/detect/DAT/yolov8_camo_fs

results.csv

@@ -1,124 +1,65 @@
 epoch,time,train/box_loss,train/cls_loss,train/dfl_loss,metrics/precision(B),metrics/recall(B),metrics/mAP50(B),metrics/mAP50-95(B),val/box_loss,val/cls_loss,val/dfl_loss,lr/pg0,lr/pg1,lr/pg2
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