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Browse files- args.yaml +119 -0
- events.out.tfevents.1729536520.5ddfb9e748b6.318.0 +3 -0
- labels.jpg +0 -0
- labels_correlogram.jpg +0 -0
- results.csv +2 -0
- train_batch0.jpg +0 -0
- train_batch1.jpg +0 -0
- train_batch2.jpg +0 -0
- weights/best.pt +3 -0
- weights/epoch0.pt +3 -0
- weights/last.pt +3 -0
args.yaml
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task: detect
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mode: train
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model: /kaggle/working/yolo11x.pt
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data: /kaggle/working/Corn-Pest-Detection-2-3/pest.yaml
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epochs: 50
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time: null
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patience: 5
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batch: 64
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imgsz: 640
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save: true
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save_period: 50
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cache: false
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device:
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- 0
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- 1
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workers: 16
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project: null
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name: corn-pest-detection3
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exist_ok: false
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pretrained: true
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optimizer: Adam
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verbose: true
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seed: 42
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deterministic: true
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single_cls: false
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rect: false
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cos_lr: true
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close_mosaic: 10
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resume: false
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amp: true
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fraction: 1.0
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profile: false
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freeze:
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- 0
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- 1
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- 2
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multi_scale: false
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overlap_mask: true
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mask_ratio: 4
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dropout: 0.2
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val: true
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split: val
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save_json: false
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save_hybrid: false
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conf: null
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iou: 0.7
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max_det: 300
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half: false
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dnn: false
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plots: true
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source: null
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vid_stride: 1
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stream_buffer: false
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visualize: false
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augment: false
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agnostic_nms: false
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classes: null
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retina_masks: false
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embed: null
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show: false
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save_frames: false
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save_txt: false
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save_conf: false
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save_crop: false
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show_labels: true
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show_conf: true
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show_boxes: true
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line_width: null
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format: torchscript
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keras: false
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optimize: false
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int8: false
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dynamic: false
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simplify: true
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opset: null
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workspace: 4
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nms: false
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lr0: 1.0e-05
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lrf: 0.01
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momentum: 0.937
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weight_decay: 0.0001
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warmup_epochs: 5.0
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warmup_momentum: 0.8
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warmup_bias_lr: 0.1
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box: 7.5
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cls: 0.5
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dfl: 1.5
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pose: 12.0
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kobj: 1.0
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label_smoothing: 0.1
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nbs: 64
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hsv_h: 0.015
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hsv_s: 0.7
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hsv_v: 0.4
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degrees: 0.0
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translate: 0.1
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scale: 0.5
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shear: 0.0
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perspective: 0.0
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flipud: 0.0
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fliplr: 0.5
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bgr: 0.0
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mosaic: 1.0
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mixup: 0.0
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copy_paste: 0.0
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copy_paste_mode: flip
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auto_augment: randaugment
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erasing: 0.4
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crop_fraction: 1.0
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cfg: null
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tracker: botsort.yaml
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save_dir: runs/detect/corn-pest-detection3
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events.out.tfevents.1729536520.5ddfb9e748b6.318.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f49d9f61f9a63089eb90ca360003bebd28f7653150c2d71f5553d130b55b3d36
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size 533040
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labels.jpg
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labels_correlogram.jpg
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results.csv
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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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1,151.586,1.34777,2.95998,1.79866,0.2769,0.14133,0.13787,0.05636,2.21061,2.88584,2.84596,0.080252,1.975e-06,1.975e-06
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train_batch0.jpg
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train_batch1.jpg
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train_batch2.jpg
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weights/best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:56903b609e2cf90a5457ea9fbe2aecc81f4b1bdfa0655ceffb3658b3dab07414
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size 239964617
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weights/epoch0.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:56903b609e2cf90a5457ea9fbe2aecc81f4b1bdfa0655ceffb3658b3dab07414
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size 239964617
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weights/last.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:56903b609e2cf90a5457ea9fbe2aecc81f4b1bdfa0655ceffb3658b3dab07414
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size 239964617
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