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@@ -119,3 +119,32 @@ yolo_vis/samples_debug2/image_001752.jpg filter=lfs diff=lfs merge=lfs -text
 yolo_vis/samples_debug2/image_001753.jpg filter=lfs diff=lfs merge=lfs -text
 yolov8n.pt filter=lfs diff=lfs merge=lfs -text
 yolov8s.pt filter=lfs diff=lfs merge=lfs -text
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+yolo_runs/smartvision_yolov8s_alltrain3/results.png filter=lfs diff=lfs merge=lfs -text
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yolo_runs/smartvision_yolov8s_alltrain3/args.yaml

@@ -1,106 +1,106 @@
-task: detect
-mode: train
-model: yolov8s.pt
-data: smartvision_dataset\detection\data_all.yaml
-epochs: 50
-time: null
-patience: 100
-batch: 8
-imgsz: 640
-save: true
-save_period: -1
-cache: false
-device: cpu
-workers: 8
-project: yolo_runs
-name: smartvision_yolov8s_alltrain3
-exist_ok: false
-pretrained: true
-optimizer: SGD
-verbose: true
-seed: 0
-deterministic: true
-single_cls: false
-rect: false
-cos_lr: false
-close_mosaic: 10
-resume: false
-amp: true
-fraction: 1.0
-profile: false
-freeze: null
-multi_scale: false
-compile: false
-overlap_mask: true
-mask_ratio: 4
-dropout: 0.0
-val: true
-split: val
-save_json: false
-conf: null
-iou: 0.7
-max_det: 300
-half: false
-dnn: false
-plots: true
-source: null
-vid_stride: 1
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-visualize: false
-augment: false
-agnostic_nms: false
-classes: null
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-save_conf: false
-save_crop: false
-show_labels: true
-show_conf: true
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-line_width: null
-format: torchscript
-keras: false
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-int8: false
-dynamic: false
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-opset: null
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-lr0: 0.01
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-weight_decay: 0.0005
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-warmup_momentum: 0.8
-warmup_bias_lr: 0.1
-box: 7.5
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-auto_augment: randaugment
-erasing: 0.4
-cfg: null
-tracker: botsort.yaml
-save_dir: D:\Guvi\SmartVision_AI\yolo_runs\smartvision_yolov8s_alltrain3
+task: detect
+mode: train
+model: yolov8s.pt
+data: smartvision_dataset\detection\data_all.yaml
+epochs: 50
+time: null
+patience: 100
+batch: 8
+imgsz: 640
+save: true
+save_period: -1
+cache: false
+device: cpu
+workers: 8
+project: yolo_runs
+name: smartvision_yolov8s_alltrain3
+exist_ok: false
+pretrained: true
+optimizer: SGD
+verbose: true
+seed: 0
+deterministic: true
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+val: true
+split: val
+save_json: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
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+retina_masks: false
+embed: null
+show: false
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+save_txt: false
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+show_labels: true
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+format: torchscript
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+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
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+pose: 12.0
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+copy_paste_mode: flip
+auto_augment: randaugment
+erasing: 0.4
+cfg: null
+tracker: botsort.yaml
+save_dir: D:\Guvi\SmartVision_AI\yolo_runs\smartvision_yolov8s_alltrain3

yolo_runs/smartvision_yolov8s_alltrain3/results.csv

@@ -1,5 +1,51 @@
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+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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yolo_runs/smartvision_yolov8s_alltrain3/validation_all_20251206_210906/per_class_metrics.csv

@@ -0,0 +1,26 @@
+class_id,class_name,precision,recall,mAP50,mAP50_95
+0,person,0.9523316174887763,0.6966094231616028,0.43060301314154914,0.43060301314154914
+1,bicycle,0.9713056145844059,0.7236842105263158,0.39570620344880403,0.39570620344880403
+2,car,0.9312606228395653,0.6122448979591837,0.4249164383259473,0.4249164383259473
+3,motorcycle,0.9055068381820468,0.7435158501440923,0.41172111155889546,0.41172111155889546
+4,airplane,0.9805402763703575,0.8778438069397654,0.6145333382947593,0.6145333382947593
+5,bus,0.9156752210278394,0.6420452903367881,0.4088474625665854,0.4088474625665854
+6,truck,0.8561729756726747,0.6781609195402298,0.426673607567522,0.426673607567522
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yolo_runs/smartvision_yolov8s_alltrain3/validation_all_20251206_210906/validation_metrics_all.json

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yolo_runs/smartvision_yolov8s_alltrain3/validation_all_20251206_210906/validation_summary.txt

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+======================================================================
+YOLO VALIDATION REPORT - ALL IMAGES
+======================================================================
+
+Timestamp: 2025-12-06 21:18:00
+Model: yolo_runs/smartvision_yolov8s_alltrain3/weights/best.pt
+Validation Type: All Images (Train + Val + Test)
+
+======================================================================
+OVERALL PERFORMANCE
+======================================================================
+mAP@0.5        : 0.7802
+mAP@0.5:0.95   : 0.4477
+Precision      : 0.9289
+Recall         : 0.7420
+
+======================================================================
+INFERENCE SPEED
+======================================================================
+Time/Image     : 284.34 ms
+FPS            : 3.52 images/sec
+Test Images    : 100
+
+======================================================================
+PER-CLASS PERFORMANCE (Top 10 by mAP@0.5)
+======================================================================
+Class                Precision    Recall       mAP@0.5     
+----------------------------------------------------------------------
+potted plant         0.9847       0.8725       0.6626      
+airplane             0.9805       0.8778       0.6145      
+cat                  0.9826       0.8938       0.5714      
+chair                0.9698       0.7698       0.5378      
+bench                0.9288       0.8438       0.5016      
+cow                  0.9464       0.8097       0.4928      
+stop sign            0.9287       0.8554       0.4894      
+bowl                 0.9621       0.7894       0.4722      
+pizza                0.9285       0.9064       0.4665      
+cake                 0.9165       0.7278       0.4614      
+
+======================================================================
+NOTES
+======================================================================
+- This validation uses ALL images (train+val+test combined)
+- These metrics represent the model's performance on the entire dataset
+- For standard ML evaluation, use separate train/val/test splits
+- These metrics are suitable for production deployment assessment

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