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Javvanny
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yolov8m_flying_objects_detection

Object Detection
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  1. F1_curve.png +0 -0
  2. PR_curve.png +0 -0
  3. P_curve.png +0 -0
  4. R_curve.png +0 -0
  5. args.yaml +106 -0
  6. confusion_matrix.png +0 -0
  7. confusion_matrix_normalized.png +0 -0
  8. labels.jpg +0 -0
  9. labels_correlogram.jpg +0 -0
  10. predictions.json +0 -0
  11. results.csv +51 -0
  12. results.png +0 -0
  13. train_batch0.jpg +0 -0
  14. train_batch1.jpg +0 -0
  15. train_batch17120.jpg +0 -0
  16. train_batch17121.jpg +0 -0
  17. train_batch17122.jpg +0 -0
  18. train_batch2.jpg +0 -0
  19. val_batch0_labels.jpg +0 -0
  20. val_batch0_pred.jpg +0 -0
  21. val_batch1_labels.jpg +0 -0
  22. val_batch1_pred.jpg +0 -0
  23. val_batch2_labels.jpg +0 -0
  24. val_batch2_pred.jpg +0 -0
F1_curve.png ADDED
PR_curve.png ADDED
P_curve.png ADDED
R_curve.png ADDED
args.yaml ADDED
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+ task: detect
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+ mode: train
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+ model: D:\python_project\Yolo8\runs\detect\yolov8m_LTC15\weights\last.pt
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+ data: custom_data.yaml
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+ epochs: 50
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+ time: null
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+ patience: 100
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+ batch: 32
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+ imgsz: 640
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+ save: true
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+ save_period: 10
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+ cache: false
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+ device: 0
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+ workers: 8
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+ project: null
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+ name: yolov8m_LTC15
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+ exist_ok: false
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+ pretrained: true
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+ optimizer: auto
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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: false
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+ close_mosaic: 10
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+ resume: D:\python_project\Yolo8\runs\detect\yolov8m_LTC15\weights\last.pt
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+ amp: true
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+ fraction: 1
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+ profile: false
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+ freeze: null
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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: 0.0
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+ val: true
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+ split: val
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+ save_json: true
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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: true
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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: false
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+ opset: null
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+ workspace: 4
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+ nms: false
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+ lr0: 0.015
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+ lrf: 0.005
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+ momentum: 0.937
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+ weight_decay: 0.0005
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+ warmup_epochs: 3.0
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+ warmup_momentum: 0.8
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+ warmup_bias_lr: 0.0
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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: 0.0
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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: 20
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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: 0.0
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+ mixup: 0.0
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+ copy_paste: 0.0
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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\yolov8m_LTC15
confusion_matrix.png ADDED
confusion_matrix_normalized.png ADDED
labels.jpg ADDED
labels_correlogram.jpg ADDED
predictions.json ADDED
The diff for this file is too large to render. See raw diff
 
results.csv ADDED
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+ 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
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+ 4, 1.5563, 1.0736, 1.0998, 0.7635, 0.57345, 0.59139, 0.27589, 2.0283, 1.1898, 1.0945, 0.009403, 0.009403, 0.009403
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results.png ADDED
train_batch0.jpg ADDED
train_batch1.jpg ADDED
train_batch17120.jpg ADDED
train_batch17121.jpg ADDED
train_batch17122.jpg ADDED
train_batch2.jpg ADDED
val_batch0_labels.jpg ADDED
val_batch0_pred.jpg ADDED
val_batch1_labels.jpg ADDED
val_batch1_pred.jpg ADDED
val_batch2_labels.jpg ADDED
val_batch2_pred.jpg ADDED