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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+runs/detect/train/predictions.json filter=lfs diff=lfs merge=lfs -text

runs/detect/train/args.yaml

@@ -0,0 +1,106 @@
+task: detect
+mode: train
+model: yolov8s-worldv2.pt
+data: lvis.yaml
+epochs: 10
+time: null
+patience: 100
+batch: 16
+imgsz: 640
+save: true
+save_period: -1
+cache: false
+device: 0
+workers: 8
+project: null
+name: train
+exist_ok: false
+pretrained: true
+optimizer: auto
+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
+overlap_mask: true
+mask_ratio: 4
+dropout: 0.0
+val: true
+split: val
+save_json: false
+save_hybrid: false
+conf: null
+iou: 0.7
+max_det: 300
+half: false
+dnn: false
+plots: true
+source: null
+vid_stride: 1
+stream_buffer: false
+visualize: false
+augment: false
+agnostic_nms: false
+classes: null
+retina_masks: false
+embed: null
+show: false
+save_frames: false
+save_txt: false
+save_conf: false
+save_crop: false
+show_labels: true
+show_conf: true
+show_boxes: true
+line_width: null
+format: torchscript
+keras: false
+optimize: false
+int8: false
+dynamic: false
+simplify: false
+opset: null
+workspace: 4
+nms: false
+lr0: 0.01
+lrf: 0.01
+momentum: 0.937
+weight_decay: 0.0005
+warmup_epochs: 3.0
+warmup_momentum: 0.8
+warmup_bias_lr: 0.1
+box: 7.5
+cls: 0.5
+dfl: 1.5
+pose: 12.0
+kobj: 1.0
+label_smoothing: 0.0
+nbs: 64
+hsv_h: 0.015
+hsv_s: 0.7
+hsv_v: 0.4
+degrees: 0.0
+translate: 0.1
+scale: 0.5
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+mixup: 0.0
+copy_paste: 0.0
+auto_augment: randaugment
+erasing: 0.4
+crop_fraction: 1.0
+cfg: null
+tracker: botsort.yaml
+save_dir: runs\detect\train

runs/detect/train/events.out.tfevents.1720967181.PCZoneGaming.14596.0

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runs/detect/train/predictions.json

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runs/detect/train/results.csv

@@ -0,0 +1,11 @@
+                  epoch,         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
+                      1,                 1.2462,                 2.0376,                 1.2333,                0.43617,                 0.1067,                0.06331,                0.04623,                 1.1947,                 3.6806,                 1.1721,              0.0033328,              0.0033328,              0.0033328
+                      2,                  1.284,                 1.9294,                 1.2357,                0.50394,                0.10376,                0.06445,                0.04667,                 1.2134,                 3.4415,                 1.1797,              0.0060062,              0.0060062,              0.0060062
+                      3,                 1.3613,                 2.0508,                 1.2744,                0.54677,                0.09808,                0.06043,                0.04383,                 1.2311,                 3.4689,                 1.1936,              0.0080196,              0.0080196,              0.0080196
+                      4,                 1.3843,                 2.0762,                 1.2889,                0.54283,                0.10519,                0.06449,                0.04686,                 1.2056,                 3.4312,                  1.184,                0.00703,                0.00703,                0.00703
+                      5,                 1.3278,                  1.943,                 1.2574,                0.55773,                0.10675,                0.07122,                0.05226,                 1.1726,                 3.3207,                 1.1658,                0.00604,                0.00604,                0.00604
+                      6,                 1.2834,                 1.8363,                 1.2317,                0.54744,                0.11553,                0.07612,                0.05611,                   1.15,                 3.2407,                 1.1525,                0.00505,                0.00505,                0.00505
+                      7,                 1.2417,                 1.7482,                  1.208,                0.52059,                0.12078,                0.07996,                 0.0593,                 1.1345,                 3.1952,                 1.1439,                0.00406,                0.00406,                0.00406
+                      8,                 1.2045,                  1.664,                 1.1863,                0.51724,                  0.124,                0.08257,                0.06147,                 1.1243,                 3.1576,                 1.1369,                0.00307,                0.00307,                0.00307
+                      9,                 1.1682,                 1.5835,                 1.1653,                0.51374,                0.12638,                0.08452,                0.06315,                 1.1173,                 3.1269,                  1.132,                0.00208,                0.00208,                0.00208
+                     10,                 1.1334,                 1.5046,                 1.1456,                0.51686,                0.12547,                0.08629,                0.06458,                 1.1122,                 3.1097,                 1.1283,                0.00109,                0.00109,                0.00109

runs/detect/train/weights/best.pt

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yolov8s-worldv2-lvis.pt

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yolov8s-worldv2.pt

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