Add sugarcane model

saved_traning_model_and_result/sugarcane-roboflow-v9/yolov10b-sugarcane-weed/args.yaml

@@ -0,0 +1,107 @@
+task: detect
+mode: train
+model: weights/yolov10b.pt
+data: data/sugarcane.yaml
+epochs: 300
+time: null
+patience: 100
+batch: 8
+imgsz: 640
+save: true
+save_period: -1
+val_period: 1
+cache: false
+device: 0
+workers: 8
+project: null
+name: yolov10b-sugarcane-weed
+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: None
+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
+shear: 0.0
+perspective: 0.0
+flipud: 0.0
+fliplr: 0.5
+bgr: 0.0
+mosaic: 1.0
+mixup: 0.0
+copy_paste: 0.0
+auto_augment: randaugment
+erasing: 0.4
+crop_fraction: 1.0
+cfg: null
+tracker: botsort.yaml
+save_dir: C:\Users\ryuya\Documents\TECH.C\Ishigaki\train-YOLOv10\runs\detect\yolov10b-sugarcane-weed

saved_traning_model_and_result/sugarcane-roboflow-v9/yolov10b-sugarcane-weed/results.csv

@@ -0,0 +1,160 @@
+                  epoch,           train/box_om,           train/cls_om,           train/dfl_om,           train/box_oo,           train/cls_oo,           train/dfl_oo,   metrics/precision(B),      metrics/recall(B),       metrics/mAP50(B),    metrics/mAP50-95(B),             val/box_om,             val/cls_om,             val/dfl_om,             val/box_oo,             val/cls_oo,             val/dfl_oo,                 lr/pg0,                 lr/pg1,                 lr/pg2
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+                      2,                 2.2349,                 1.8003,                 1.5256,                 2.3323,                 2.0092,                 1.3997,                0.35956,                0.30301,                0.23077,                 0.0729,                  2.385,                 117.98,                 1.9829,                 2.4777,                 2.5944,                 1.7216,              0.0013175,              0.0013175,              0.0013175
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